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: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 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 07:22 UTC — 22 Oct 2026 01:59 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 14 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
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 3 / 3 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): 2026-10-21T07:22:48.955489+00:00 — 2026-10-22T01:59:41.513136+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 |
| 2023 | All selected publications | 5 | 3 | 3/3 |
| 2024 | All selected publications | 4 | 3 | 3/3 |
| 2025 | All selected publications | 5 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
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 |
|---|---|
| 2021 | 1 |
| 2023 | 2 |
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 | 1 | 3 | 3 | 1/1 | 3.0 | 3 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 6 | 15 | 2/2 | 3.0 | 3.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to analyze the influence of elements of social media marketing activity on consumer engagement and brand knowledge including brand awareness and image. This study used a quantitative method and purposive sampling technique on 250 respondents. The research was conducted on all Indonesian citizens who use social media WhatsApp, Facebook, Instagram, youtube, and TikTok regarding the culinary business of celebrities and YouTubers in Indonesia. The method used is the Structural Equation Model with AMOS 24.0 Software. The results of this study indicate that the interaction variables, trends, and EWOM have a positive and significant effect on consumer engagement, and consumer engagement has a positive and significant effect on brand awareness and brand image. While the entertainment and customization variables have no significant effect on consumer engagement.
This study aims to examine and analyze the influence of social media communications created by companies (Firm-created Communication – FCC) and users (User-generated Communication – UGC) on the user's perspective on brand equity and brand attitudes that have an impact on the purchase intention of Samsung products. The population of this study is users who do not use Samsung products to describe their interest in buying Samsung products. The object of this research is social media communications made by companies and users about Samsung products. The research sample consisted of 218 respondents who were not Samsung users and who at the time of the study were domiciled in Java or outside Java. The research data were then analyzed using the Structural Equation Model (AMOS v 23). Based on the research results, it is known that social media communications made by companies positively influence brand attitudes. User-generated social media communications positively influence brand equity and brand attitudes. Brand attitude positively affects brand equity. Brand equity and brand attitude positively influence purchase intention. However, social media communications made by the company have no effect on brand equity. This study reveals that communication made by users has more influence on purchase intention through brand equity and attitudes. Where equity and brand attitude are important in buying interest in a product.
This study aims to examine the influence of social media marketing activities, brand equity, and E-WOM on purchase intentions for MS Glow skin care products. The population is citizens of Indonesia who have social media accounts and are 18–35 years old.. The number of samples is 250 respondents with criteria aged 18-35 years who have social media accounts. Research data were collected through questionnaires through an online survey conducted using Google Forms. Data analysis techniques used the structural equation model (SEM) of the AMOS 26 program, whose results showed that social media marketing activity had a significant effect on brand equity and purchase intention, brand purchase had a significant effect on E-WoM, and E-WOM had a significant effect on purchase intention. MS Glow skin care products.
This study aims to examine and analyze the influence of social media communications created by companies (Firm-created Communication – FCC) and users (User-generated Communication – UGC) on the user's perspective on brand equity and brand attitudes that have an impact on the purchase intention of Samsung products. The population of this study is users who do not use Samsung products to describe their interest in buying Samsung products. The object of this research is social media communications made by companies and users about Samsung products. The research sample consisted of 218 respondents who were not Samsung users and who at the time of the study were domiciled in Java or outside Java. The research data were then analyzed using the Structural Equation Model (AMOS v 23). Based on the research results, it is known that social media communications made by companies positively influence brand attitudes. User-generated social media communications positively influence brand equity and brand attitudes. Brand attitude positively affects brand equity. Brand equity and brand attitude positively influence purchase intention. However, social media communications made by the company have no effect on brand equity. This study reveals that communication made by users has more influence on purchase intention through brand equity and attitudes. Where equity and brand attitude are important in buying interest in a product.
This study aims to examine the influence of social media marketing activities, brand equity, and E-WOM on purchase intentions for MS Glow skin care products. The population is citizens of Indonesia who have social media accounts and are 18–35 years old.. The number of samples is 250 respondents with criteria aged 18-35 years who have social media accounts. Research data were collected through questionnaires through an online survey conducted using Google Forms. Data analysis techniques used the structural equation model (SEM) of the AMOS 26 program, whose results showed that social media marketing activity had a significant effect on brand equity and purchase intention, brand purchase had a significant effect on E-WoM, and E-WOM had a significant effect on purchase intention. MS Glow skin care products.
This study aims to analyze the influence of elements of social media marketing activity on consumer engagement and brand knowledge including brand awareness and image. This study used a quantitative method and purposive sampling technique on 250 respondents. The research was conducted on all Indonesian citizens who use social media WhatsApp, Facebook, Instagram, youtube, and TikTok regarding the culinary business of celebrities and YouTubers in Indonesia. The method used is the Structural Equation Model with AMOS 24.0 Software. The results of this study indicate that the interaction variables, trends, and EWOM have a positive and significant effect on consumer engagement, and consumer engagement has a positive and significant effect on brand awareness and brand image. While the entertainment and customization variables have no significant effect on consumer engagement.
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 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |