Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:14 UTC — 22 Oct 2026 02:36 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 12 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 4 / 4 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:14:28.534814+00:00 — 2026-10-22T02:36:17.085100+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 4 | 4 | 4/4 |
| 2024 | All selected publications | 3 | 4 | 4/4 |
| 2025 | All selected publications | 4 | 4 | 4/4 |
| 2026 | All selected publications | 2 | 4 | 4/4 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2023 | 3 |
| 2024 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 4 | 8 | 13 | 4/4 | 2.0 | 1.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This research explores the effectiveness of destination awareness, destination image, perceived quality, and brand engagement on visit intention among TikTok users toward destinations in Yogyakarta. The sample in this research is TikTok users who have seen tourism video content in Yogyakarta. Data was obtained through an online survey constructed with Google Forms which 225 respondents filled out. The data used in this study were analyzed using the PLS-SEM method by SPSS and SmartPLS. According to the research findings, destination awareness and destination image positively impact the perceived quality of TikTok users. Furthermore, perceived quality positively affects the intention to visit and brand engagement for TikTok users. These findings provide implications and empirical studies related to encouraging marketing potential on social media TikTok for visiting the tourism industry in Yogyakarta.
MSMEs are widely regarded as important building blocks for economic prosperity and broader social well-being for both developed and developing nations. However, MSMEs face several challenges that impede their ability to fully provide the much-needed boost to the socio-economic development of countries. Tourism MSMEs are often significantly impacted by crises that include economic downturns, natural disasters, and public health emergencies that destroy infrastructure and affect human movement, notably the outbreak of pandemics and epidemics. The Covid-19 pandemic altered every business operation across the globe. This was mainly because the pandemic was new and no reference case for the Covid-19 crisis existed in living memory. As such the survival of all businesses was at high risk, particularly, the tourism MSMEs in South Africa. The industry’s operations were severely affected by the restrictions imposed by the government of South Africa especially in the year 2020 and 2021. Despite operating their businesses in a crisis, the tourism MSMEs entrepreneurs exhibited resilience as they navigated the pandemic, through being agile, adaptive, and exploring new opportunities of operating and utilising government support. It is in this regard that gaining a deeper understanding of the resilience strategies that were employed by the tourism MSMEs during and strategies being employed during post Covid-19 pandemic crisis is of paramount significance. The study adopted qualitative interpretivist approach through document analysis. Collected data was analysed using the ATLAS.ti.software. The study concludes that even though the Covid-19 had some devastating effects on the MSMEs tourism entrepreneurs, that are still being felt now, it forced the entrepreneurs to adapt and be innovative. It is in this regard that the study concludes that the identified strategies are very vital for the survival of the effects of the Covid-19 pandemic. The study also concludes that the tourism MSMEs entrepreneurs became more resilient to the pandemic as it progressed hence, they implemented the identified strategies revealed by the study findings.
Vietnam's tourism industry has been one of the economy's key growth drivers for years. This study examines the relationship between international tourist arrivals, bilateral trade, and income in Vietnam by applying a cointegration model with the panel data of Vietnam and its major global tourism markets. The results show that export and per capita income significantly influence Vietnam's international tourist arrivals from 2008 to 2019. The study also uses causality techniques to test for the direction of causality and found a two-way causal effect from exports and income to international tourist arrivals. These findings suggest that future economic policy should focus more on tourism and trade-related to sustain the growth of the tourism industry and generate more foreign exchange earnings for Vietnam.
Batu is the most popular destination in East Java and even in Indonesia. Batu continues to develop its tourism potential by developing tourist villages in the Batu area. Tourism villages have become something new in village development by attracting the flow of tourists to rural areas This study will analyze how the quality of service at Brakseng Tourism in Batu, East Java, Indonesia. In knowing the perceptions of consumers (visitors) of Brakseng tourism, researchers used SERQUAL analysis. Based on the calculation of the customer satisfaction index, the visitors to Brakseng have a high level of satisfaction. Safety is a dimension that needs to get the most attention because it is in quadrant A. Attributes in quadrant A are considered important attributes and are a priority and affect user satisfaction. The management is obliged to allocate its resources to improve the performance of the attributes that fall into this quadrant.
MSMEs are widely regarded as important building blocks for economic prosperity and broader social well-being for both developed and developing nations. However, MSMEs face several challenges that impede their ability to fully provide the much-needed boost to the socio-economic development of countries. Tourism MSMEs are often significantly impacted by crises that include economic downturns, natural disasters, and public health emergencies that destroy infrastructure and affect human movement, notably the outbreak of pandemics and epidemics. The Covid-19 pandemic altered every business operation across the globe. This was mainly because the pandemic was new and no reference case for the Covid-19 crisis existed in living memory. As such the survival of all businesses was at high risk, particularly, the tourism MSMEs in South Africa. The industry’s operations were severely affected by the restrictions imposed by the government of South Africa especially in the year 2020 and 2021. Despite operating their businesses in a crisis, the tourism MSMEs entrepreneurs exhibited resilience as they navigated the pandemic, through being agile, adaptive, and exploring new opportunities of operating and utilising government support. It is in this regard that gaining a deeper understanding of the resilience strategies that were employed by the tourism MSMEs during and strategies being employed during post Covid-19 pandemic crisis is of paramount significance. The study adopted qualitative interpretivist approach through document analysis. Collected data was analysed using the ATLAS.ti.software. The study concludes that even though the Covid-19 had some devastating effects on the MSMEs tourism entrepreneurs, that are still being felt now, it forced the entrepreneurs to adapt and be innovative. It is in this regard that the study concludes that the identified strategies are very vital for the survival of the effects of the Covid-19 pandemic. The study also concludes that the tourism MSMEs entrepreneurs became more resilient to the pandemic as it progressed hence, they implemented the identified strategies revealed by the study findings.
Vietnam's tourism industry has been one of the economy's key growth drivers for years. This study examines the relationship between international tourist arrivals, bilateral trade, and income in Vietnam by applying a cointegration model with the panel data of Vietnam and its major global tourism markets. The results show that export and per capita income significantly influence Vietnam's international tourist arrivals from 2008 to 2019. The study also uses causality techniques to test for the direction of causality and found a two-way causal effect from exports and income to international tourist arrivals. These findings suggest that future economic policy should focus more on tourism and trade-related to sustain the growth of the tourism industry and generate more foreign exchange earnings for Vietnam.
Batu is the most popular destination in East Java and even in Indonesia. Batu continues to develop its tourism potential by developing tourist villages in the Batu area. Tourism villages have become something new in village development by attracting the flow of tourists to rural areas This study will analyze how the quality of service at Brakseng Tourism in Batu, East Java, Indonesia. In knowing the perceptions of consumers (visitors) of Brakseng tourism, researchers used SERQUAL analysis. Based on the calculation of the customer satisfaction index, the visitors to Brakseng have a high level of satisfaction. Safety is a dimension that needs to get the most attention because it is in quadrant A. Attributes in quadrant A are considered important attributes and are a priority and affect user satisfaction. The management is obliged to allocate its resources to improve the performance of the attributes that fall into this quadrant.
This research explores the effectiveness of destination awareness, destination image, perceived quality, and brand engagement on visit intention among TikTok users toward destinations in Yogyakarta. The sample in this research is TikTok users who have seen tourism video content in Yogyakarta. Data was obtained through an online survey constructed with Google Forms which 225 respondents filled out. The data used in this study were analyzed using the PLS-SEM method by SPSS and SmartPLS. According to the research findings, destination awareness and destination image positively impact the perceived quality of TikTok users. Furthermore, perceived quality positively affects the intention to visit and brand engagement for TikTok users. These findings provide implications and empirical studies related to encouraging marketing potential on social media TikTok for visiting the tourism industry in Yogyakarta.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |