CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 01:50 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS12/2 with known counts
OPENALEX CITATIONS62/2 with known counts
OPENALEX MEAN3.0Per article with a known count
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topic: Global Financial Crisis and Policies Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Sultan Qaboos University11/2 records with data

Countries

Oman11/2 records with data

Primary topics

Global Financial Crisis and Policies22/2 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 2/2 articles. Latest history observation: 2026-10-22T01:50:11.802551+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS1
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS0.5

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS6
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY3.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.0

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 citation distributionNo citations01–526–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.

Countries

1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Citation year / OpenAlex

Citations received over time

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.

OpenAlex · Citations received by year

31.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications122/2
2019All selected publications022/2
2020All selected publications322/2
2021All selected publications022/2
2022All selected publications122/2
2023All selected publications122/2
2024All selected publications022/2
2025All selected publications022/2
2026All selected publications022/2

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.5
Median0.5
No citations11–516–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Finance & Banking Studies
SSBFNET
1151/11.01100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1011/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

The consequences of China's impending economic crisis on global economy

Mavhungu Abel Mafukata

International Journal of Finance & Banking Studies · 2016

Read abstract

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.

DOI 10.20525/ijfbs.v5i6.5961 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

China-U.S. Currency Conflict

Hani Albasoos · Hanan Hanan Al-Hadhrami

International Journal of Research in Business and Social Science · 2016

Read abstract

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.

DOI 10.20525/ijrbs.v5i6.5750 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

China-U.S. Currency Conflict

Hani Albasoos · Hanan Hanan Al-Hadhrami

International Journal of Research in Business and Social Science · 2016

Read abstract

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.

DOI 10.20525/ijrbs.v5i6.5750 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The consequences of China's impending economic crisis on global economy

Mavhungu Abel Mafukata

International Journal of Finance & Banking Studies · 2016

Read abstract

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.

DOI 10.20525/ijfbs.v5i6.5961 Crossref citations5 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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