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: 1 / 1 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 — 21 Oct 2026 00:14 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.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.
1 / 1 with data · 0 missing or unmatched. Percentages use all 1 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 4 | 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 1 / 1 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): 2026-10-21T00:14:30.111079+00:00 — 2026-10-21T00:14:30.111079+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 | 1 | 1/1 |
| 2018 | All selected publications | 0 | 1 | 1/1 |
| 2019 | All selected publications | 0 | 1 | 1/1 |
| 2020 | All selected publications | 0 | 1 | 1/1 |
| 2021 | All selected publications | 0 | 1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 |
| 2023 | All selected publications | 0 | 1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 |
| 2026 | All selected publications | 3 | 1 | 1/1 |
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 |
|---|---|
| 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 | 1 | 3 | 4 | 1/1 | 3.0 | 3 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
Currently, numerous institutions, organisations, and governments globally have issues associated with rising technological crimes and misinformation within cyber systems, which jeopardise societal faith in these entities. A cyber-system is a framework that employs cyberspace and encompasses information infrastructures, along with individuals and other entities engaged in the system's business operations and activities. Social media platforms facilitate communication, commercial transactions, and various lucrative endeavours. Nonetheless, these sites have been utilised by cybercriminals and fraudsters for nefarious activities, including executing assaults on their targets and disseminating misinformation. This article examines the assessment of developing technological crimes on social media platforms and techniques for mitigating disinformation in cyber networks. A mixed-method approach was employed for data collecting, incorporating both qualitative and quantitative techniques, with unstructured interviews and surveys. The findings indicated that disinformation has adversely affected multiple sectors, including health, social, security, and education. Conspiracy theorists have utilised cyber systems and social media platforms to propagate misinformation, while fraudsters and cybercriminals have exploited these mediums to victimise individuals. Recommendations encompass the necessity for governmental regulation of online activities, the education of cyber system and social media users to exercise caution regarding their online conduct, the implementation of robust cyber policies and legislation, the verification and authentication of information prior to dissemination, the training and retraining of criminal justice officials, and the engagement of cyber law enforcement to scrutinise messages and information traversing cyber systems and social media platforms. tem. Social media platforms are used for communication, business transactions, and other profitable initiatives. However, these platforms have also been exploited by cyber criminals and fraudsters for malicious activities, such as launching attacks on their targets and spreading false information. This paper focuses on evaluating emerging technology crimes on social media platforms and strategies for reducing misinformation on cyber systems. A mixed method was used for data collection, including qualitative and quantitative methods, as well as unstructured interviews and questionnaires. The findings revealed that misinformation has had negative impacts on various sectors including health, social, security, and education. Cyber systems and social media platforms have been used by conspiracy theorists to disseminate false information, while fraudsters and cybercriminals have victimized their targets using social media and other cyber systems. Recommendations include the need for government regulation of online activities, educating cyber system and social media users to be cautious about their online activities, implementing effective cyber policies and legislation, verifying and authenticating information before sharing, training and retraining criminal justice officials, and engaging cyber cops to filter messages and information passing through cyber systems and social media platforms.
Currently, numerous institutions, organisations, and governments globally have issues associated with rising technological crimes and misinformation within cyber systems, which jeopardise societal faith in these entities. A cyber-system is a framework that employs cyberspace and encompasses information infrastructures, along with individuals and other entities engaged in the system's business operations and activities. Social media platforms facilitate communication, commercial transactions, and various lucrative endeavours. Nonetheless, these sites have been utilised by cybercriminals and fraudsters for nefarious activities, including executing assaults on their targets and disseminating misinformation. This article examines the assessment of developing technological crimes on social media platforms and techniques for mitigating disinformation in cyber networks. A mixed-method approach was employed for data collecting, incorporating both qualitative and quantitative techniques, with unstructured interviews and surveys. The findings indicated that disinformation has adversely affected multiple sectors, including health, social, security, and education. Conspiracy theorists have utilised cyber systems and social media platforms to propagate misinformation, while fraudsters and cybercriminals have exploited these mediums to victimise individuals. Recommendations encompass the necessity for governmental regulation of online activities, the education of cyber system and social media users to exercise caution regarding their online conduct, the implementation of robust cyber policies and legislation, the verification and authentication of information prior to dissemination, the training and retraining of criminal justice officials, and the engagement of cyber law enforcement to scrutinise messages and information traversing cyber systems and social media platforms. tem. Social media platforms are used for communication, business transactions, and other profitable initiatives. However, these platforms have also been exploited by cyber criminals and fraudsters for malicious activities, such as launching attacks on their targets and spreading false information. This paper focuses on evaluating emerging technology crimes on social media platforms and strategies for reducing misinformation on cyber systems. A mixed method was used for data collection, including qualitative and quantitative methods, as well as unstructured interviews and questionnaires. The findings revealed that misinformation has had negative impacts on various sectors including health, social, security, and education. Cyber systems and social media platforms have been used by conspiracy theorists to disseminate false information, while fraudsters and cybercriminals have victimized their targets using social media and other cyber systems. Recommendations include the need for government regulation of online activities, educating cyber system and social media users to be cautious about their online activities, implementing effective cyber policies and legislation, verifying and authenticating information before sharing, training and retraining criminal justice officials, and engaging cyber cops to filter messages and information passing through cyber systems and social media platforms.
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 |