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, 00:21 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: 22 Oct 2026 01:36 UTC — 22 Oct 2026 03:15 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 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): 2026-10-22T01:36:51.992210+00:00 — 2026-10-22T03:15:37.040153+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 | 2 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2022 | 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 Finance & Banking Studies SSBFNET | 3 | 0 | 2 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This research aims to see to how far extent the user interface and user experience an impact on consumer have purchasing decisions through E-Impulse Buying. The correspondents of this study were IKIP PGRI Samarinda students who were active in online purchases through the Shopee application with a usage time of 0-6 years and between 18-24 years of age. The total sample is 131 respondents using purposive sampling method. Research data comes from questionnaires distributed using Google Forms or Manually. The data analysis technique uses path analysis through the SPSS 22 program. The results found show that the user interface and user experience have an impact on purchasing decisions directly, the user interface has an impact on purchasing decisions through E-Impulse Buying, and User Experience has no Impact on decisions purchase through E-Impulse Buying.
The objective of this article is to identify the determinants of saving decisions on fixed deposits. The effect of customers' prior experience with Non-Bank Finance & Leasing Institutions (NBFLI) has been investigated as a mediation factor. Structural Equation Modelling (SEM) in AMOS has been used to analyze the results and confirmed the results by using the bootstrap technique of SEM. The results show that the stability of the NBFLIs, security for the fund, interest rate of the fixed deposits, and quality and reliability of the service directly affect the decision to save fixed deposits. The institution's geographical location has not directly affected the decision on fixed deposits. The factors of the security, interest rate, quality, and reliability of the service have an indirect effect on the decision of saving fixed deposits with prior experience, except for the factor of stability of the institutions.
In Indonesia, motorbikes dominated public transit, making motorcycle sales extremely competitive for a number of brands, particularly Honda and Yamaha. The goal of this research is to identify and assess the effects of pricing perspective qualities, brand advantages, media branding, promotions, after-sales guarantee, products, colors, and designs, as well as fuel consumption as motor product items on consumer behavior. Purposive sampling was used in this investigation, with a total sample size of 194 participants. Using SPSS software, descriptive analysis and multiple linear regression analysis were used to analyze the data. The findings show that Honda's products play a larger role in the execution of its marketing plans, accounting for 87.75 percent of the total, with Yamaha's quality accounting for the remaining 79.40 percent influenced by other factors. This shows that respondents choose motorcycles with the following criteria: Engine, Media Branding, Price, Advertising and Fuel Consumption affect consumer behavior to buy both Honda and Yamaha products.
This research aims to see to how far extent the user interface and user experience an impact on consumer have purchasing decisions through E-Impulse Buying. The correspondents of this study were IKIP PGRI Samarinda students who were active in online purchases through the Shopee application with a usage time of 0-6 years and between 18-24 years of age. The total sample is 131 respondents using purposive sampling method. Research data comes from questionnaires distributed using Google Forms or Manually. The data analysis technique uses path analysis through the SPSS 22 program. The results found show that the user interface and user experience have an impact on purchasing decisions directly, the user interface has an impact on purchasing decisions through E-Impulse Buying, and User Experience has no Impact on decisions purchase through E-Impulse Buying.
The objective of this article is to identify the determinants of saving decisions on fixed deposits. The effect of customers' prior experience with Non-Bank Finance & Leasing Institutions (NBFLI) has been investigated as a mediation factor. Structural Equation Modelling (SEM) in AMOS has been used to analyze the results and confirmed the results by using the bootstrap technique of SEM. The results show that the stability of the NBFLIs, security for the fund, interest rate of the fixed deposits, and quality and reliability of the service directly affect the decision to save fixed deposits. The institution's geographical location has not directly affected the decision on fixed deposits. The factors of the security, interest rate, quality, and reliability of the service have an indirect effect on the decision of saving fixed deposits with prior experience, except for the factor of stability of the institutions.
In Indonesia, motorbikes dominated public transit, making motorcycle sales extremely competitive for a number of brands, particularly Honda and Yamaha. The goal of this research is to identify and assess the effects of pricing perspective qualities, brand advantages, media branding, promotions, after-sales guarantee, products, colors, and designs, as well as fuel consumption as motor product items on consumer behavior. Purposive sampling was used in this investigation, with a total sample size of 194 participants. Using SPSS software, descriptive analysis and multiple linear regression analysis were used to analyze the data. The findings show that Honda's products play a larger role in the execution of its marketing plans, accounting for 87.75 percent of the total, with Yamaha's quality accounting for the remaining 79.40 percent influenced by other factors. This shows that respondents choose motorcycles with the following criteria: Engine, Media Branding, Price, Advertising and Fuel Consumption affect consumer behavior to buy both Honda and Yamaha products.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |