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: 2 / 2 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: 22 Oct 2026 01:26 UTC — 22 Oct 2026 01:50 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 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.
1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 6 | 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 2 / 2 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): 2026-10-22T01:26:55.308416+00:00 — 2026-10-22T01:50:11.802551+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 | 2 | 2/2 |
| 2018 | All selected publications | 1 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 3 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 1 | 2 | 2/2 |
| 2023 | All selected publications | 1 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 2016 | 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 | 1 | 1 | 5 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 1 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
The main objective of this paper is to predict the consequences of China's impending economic crisis on global economy – with reference to Sub-Saharan Africa (SSA) in particular. The specific objective of this paper is to investigate and explore the increasing dominance of economic practice of China in SSA. China is a critical principal player in the economy of SSA. China's influence and dominance of the SSA economy might have negative effect on SSA in case of any implosion of the Chinese economy. Data were collected from print and electronic sources extracted from the vast body of empirical scholarship of different disciplines on China in SSA. The results of this paper revealed that China is indeed dominating the economy in SSA. Pointers are that China's economic implosion would have consequences for SSA in the same way as the 2008-2009 global economic recession had around the world. This paper positively predicts that China's economic and financial implosion remains a possibility, and would impact on SSA.
For more than a decade, China has a policy of managing its currency exchange rate (RMB) to limit its appreciation against other currencies like U.S dollar. This policy has been subjected to many criticisms from United States’ lawmakers as currency manipulation. The U.S. argues that China is gaining an advantage of export and attracting direct foreign investment at the expense of other countries including the United State. The claim also has included that China’s manipulation causes U.S. trade deficit as well as high rate of unemployment. Meanwhile, China’s policy makers argue that its policy of exchange rate is a mechanism tool to enhance the development of the country and attaining market growth to make China rich and powerful. This research paper underlines the root of this argument and how china’s currency policy has affected both economics of U.S. and China. Many economists have emphasized on the appreciation of RMB as an important factor to attain the trade balance. However, this research argues that the appreciation is not going to matter. Pressure has been put on Obama’s Administration to push China to appreciate its currency and to designate China as a "currency manipulator". Several Bills have been introduced to discuss this issue.From a legal perspective, two entities could tackle this issue. They are the World Trade Organization (WTO) and the International Monetary Fund (IMF). However, IMF lack legitimacy and leverage and WTO has no jurisdiction over the exchange rate. So, none of these entities could handle the currency issue. Therefore, this paper analyzes some possible solutions such as Omnibus Act, tariffs, import quotas and forming new legislation. Where, it concludes that the best solution could be via forming a new international agency.
For more than a decade, China has a policy of managing its currency exchange rate (RMB) to limit its appreciation against other currencies like U.S dollar. This policy has been subjected to many criticisms from United States’ lawmakers as currency manipulation. The U.S. argues that China is gaining an advantage of export and attracting direct foreign investment at the expense of other countries including the United State. The claim also has included that China’s manipulation causes U.S. trade deficit as well as high rate of unemployment. Meanwhile, China’s policy makers argue that its policy of exchange rate is a mechanism tool to enhance the development of the country and attaining market growth to make China rich and powerful. This research paper underlines the root of this argument and how china’s currency policy has affected both economics of U.S. and China. Many economists have emphasized on the appreciation of RMB as an important factor to attain the trade balance. However, this research argues that the appreciation is not going to matter. Pressure has been put on Obama’s Administration to push China to appreciate its currency and to designate China as a "currency manipulator". Several Bills have been introduced to discuss this issue.From a legal perspective, two entities could tackle this issue. They are the World Trade Organization (WTO) and the International Monetary Fund (IMF). However, IMF lack legitimacy and leverage and WTO has no jurisdiction over the exchange rate. So, none of these entities could handle the currency issue. Therefore, this paper analyzes some possible solutions such as Omnibus Act, tariffs, import quotas and forming new legislation. Where, it concludes that the best solution could be via forming a new international agency.
The main objective of this paper is to predict the consequences of China's impending economic crisis on global economy – with reference to Sub-Saharan Africa (SSA) in particular. The specific objective of this paper is to investigate and explore the increasing dominance of economic practice of China in SSA. China is a critical principal player in the economy of SSA. China's influence and dominance of the SSA economy might have negative effect on SSA in case of any implosion of the Chinese economy. Data were collected from print and electronic sources extracted from the vast body of empirical scholarship of different disciplines on China in SSA. The results of this paper revealed that China is indeed dominating the economy in SSA. Pointers are that China's economic implosion would have consequences for SSA in the same way as the 2008-2009 global economic recession had around the world. This paper positively predicts that China's economic and financial implosion remains a possibility, and would impact on SSA.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |