CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 1/1 recordsLast OpenAlex observation 22 Oct 2026, 01:50 UTC
PUBLICATIONS1In the selected collection
CROSSREF CITATIONS111/1 with known counts
OPENALEX CITATIONS201/1 with known counts
OPENALEX MEAN20.0Per article with a known count
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topic: Stock Market Forecasting Methods 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.

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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.

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Institutions

Universitas Widyatama11/1 records with data

Countries

Indonesia11/1 records with data

Primary topics

Stock Market Forecasting Methods11/1 records with data
Two perspectives on citations

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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.

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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.

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Annual history: 1/1 articles. Latest history observation: 2026-10-22T01:50:12.322075+00:00. Source totals are never added together.
Research side by side

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

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Display range
International Journal of Finance & Banking Studies

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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OpenAlex · Citations received

By year of the citing work · 2017–2026

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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
1 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS1
CROSSREF CITATIONS11
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS11.0

Crossref citation coverage: 1 / 1 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 CITATIONS20
DOI MATCH COVERAGE100.0%1 / 1 publications
MEAN · KNOWN COUNTS ONLY20.01 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY20

Observation range: 22 Oct 2026 01:50 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 citations01–506–20121+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 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.

Countries

1 / 1 with data · 0 missing or unmatched. Percentages use all 1 selected publications.

Primary topics

1 / 1 with data · 0 missing or unmatched. Percentages use all 1 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 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): 2026-10-22T01:50:12.322075+00:00 — 2026-10-22T01:50:12.322075+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 1/12018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 1/12019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 1/12020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 1/12021 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 1/12022 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 1/12023 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 1/12024 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 1/12025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 1/12026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 1/1 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications011/1
2018All selected publications011/1
2019All selected publications011/1
2020All selected publications011/1
2021All selected publications311/1
2022All selected publications211/1
2023All selected publications511/1
2024All selected publications511/1
2025All selected publications511/1
2026All selected publications011/1

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 ↗

Crossref citation distribution

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

Mean11.0
Median11
No citations01–506–20121+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
111201/111.011100.01/1 · 100.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

Technical Analysis To Determine Buying And Selling Signal In Stock Trade

Rommy Pramudya · Rommy Pramudya

International Journal of Finance & Banking Studies · 2020

Read abstract

The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.

DOI 10.20525/ijfbs.v9i1.66611 Crossref citations20 OpenAlex citations

Selected results

JOURNAL ARTICLE

Technical Analysis To Determine Buying And Selling Signal In Stock Trade

Rommy Pramudya · Rommy Pramudya

International Journal of Finance & Banking Studies · 2020

Read abstract

The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.

DOI 10.20525/ijfbs.v9i1.66611 Crossref citations20 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 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
ojs-rest21 Oct 2026 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:14 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 00:22 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
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