Chenxia Jin

61 papers receiving 736 citations

Peers

Chenxia Jin
Comparison fields: 5 of 112
  • Orthodontics 58
  • Management Science and Operations Research 135
  • Management Information Systems 96
  • Industrial and Manufacturing Engineering 104
  • General Dentistry 13
Replace Bing Zhou with:
Bing Zhou China
Raghu Nath Kackar United States
Alysson Machado Costa Australia
Nyoman Gunantara Indonesia
Sangeeta Pant India
Miomir S. Stankovic Serbia
Michael R. Hilliard United States
Ely Salwana Malaysia
Hadi Charkhgard United States
Armin R. Fügenschuh Germany
Chenxia Jin relative to Bing Zhou China Bing Zhou's profile →
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Citations per year

Countries citing papers authored by Chenxia Jin

Since Specialization
Citations

This map shows the geographic impact of Chenxia Jin'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 Chenxia Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxia Jin more than expected).

Fields of papers citing papers by Chenxia Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenxia Jin. 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 Chenxia Jin. The network helps show where Chenxia Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Chenxia Jin, 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 Chenxia Jin Line = papers co-authored together Chenxia Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200390
2 201186
3 200152
4 201145
5 200341
6 201141
7 200134
8 201530
9 201429
10 201227
11 202226
12 202225
13 200219
14 201917
15 202317
16 201215
17 201413
18 201312
19 202211
20 200810

About Chenxia Jin

Chenxia Jin is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 771 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (20 papers), Multi-Criteria Decision Making (19 papers), Data Mining Algorithms and Applications (13 papers), Fuzzy Systems and Optimization (7 papers), Data Stream Mining Techniques (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Orthodontics (58 citations), Management Science and Operations Research (135 citations), Management Information Systems (96 citations), Industrial and Manufacturing Engineering (104 citations) and General Dentistry (13 citations). Chenxia Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fachao Li, Li Da Xu, Mathias J. M. Römkens, Hong Wang, Gary Robert Sands, Hiroki Nikawa, Takashi Hamada, Seicho Makihira, Hiroshi Murata and Masahiro Furukawa. Their work appears in journals such as Knowledge-Based Systems, Expert Systems with Applications, Information Sciences, Systems Research and Behavioral Science and Enterprise Information Systems.

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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