Chen Yan

416 citations
9 papers · 286 · h-index 7

Impact in

Papers in

Chen Yan

9 papers receiving 276 citations

Peers

Chen Yan
Comparison fields: 5 of 68
  • Information Systems and Management 91
  • Management Information Systems 106
  • Marketing 78
  • Business and International Management 10
  • Economics and Econometrics 87
Replace Sanjay Taneja with:
Sanjay Taneja India
Fujun Lai China
Nengzhi Yao China
Tolulope Esther Edunjobi United States
Asif Ali Syed India
Tim Riedler Germany
Yiru Wang United States
Berislav Žmuk Croatia
Shobod Deba Nath Bangladesh
Chen Yan relative to Sanjay Taneja India Sanjay Taneja's profile →
Citations per field
00.5×11.5×
Sanjay Taneja · 1×
Citations per year

Countries citing papers authored by Chen Yan

Since Specialization
Citations

This map shows the geographic impact of Chen Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yan more than expected).

Fields of papers citing papers by Chen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Yan. The network helps show where Chen Yan may publish in the future.

Co-authors

The 18 scholars most cited alongside Chen Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen Yan Line = papers co-authored together Chen Yan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2021106
2 202291
3 202328
4 202320
5 202114
6 201512
7 202210
8 20154
9
Analysis of reject rate changes of blood donation population pre and post the earthquake in Chengdu.
20101

About Chen Yan

Chen Yan is a scholar working on Marketing, Sociology and Political Science, Information Systems and Management, Economics and Econometrics and Health, having authored 9 papers that have together received 286 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (3 papers), Digital Marketing and Social Media (3 papers), Consumer Retail Behavior Studies (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Mobile Health and mHealth Applications (1 paper), Remote-Sensing Image Classification (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper) and Climate Change Policy and Economics (1 paper). The work is most often cited by research in Information Systems and Management (91 citations), Management Information Systems (106 citations), Marketing (78 citations), Business and International Management (10 citations) and Economics and Econometrics (87 citations). Chen Yan has collaborated with scholars based in China, Bangladesh and Taiwan. Frequent co-authors include Abu Bakkar Siddik, Qianli Dong, Guang-Wen Zheng, Yong Li, Md Nafizur Rahman, İlhan Öztürk, Khurshid Khudoykulov, Umair Akram, Muntasir Murshed and Wafa Ghardallou. Their work appears in journals such as Journal of Retailing and Consumer Services, International Journal of Remote Sensing, Environmental Science and Pollution Research, Resources Policy and Psychology Health & Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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