Chun-Hao Chen

1.6k citations
100 papers · 1.0k · h-index 17

Impact in

Papers in

    • Fuzzy Logic and Control Systems 20
    • Metaheuristic Optimization Algorithms Research 19
    • Imbalanced Data Classification Techniques 12
    • Data Mining Algorithms and Applications 51

Chun-Hao Chen

96 papers receiving 999 citations

Peers

Chun-Hao Chen
Comparison fields: 5 of 89
  • Information Systems 463
  • Computational Theory and Mathematics 319
  • Signal Processing 179
  • Artificial Intelligence 535
  • Management Science and Operations Research 183
Replace Paolo Garza with:
Paolo Garza Italy
Jimmy Ming‐Tai Wu China
Mustafa Mat Deris Malaysia
Bay Vo Vietnam
Hillol Kargupta United States
Renata M.C.R. de Souza Brazil
Georg Peters Germany
Yun Sing Koh New Zealand
Chun-Hao Chen relative to Paolo Garza Italy Paolo Garza's profile →
Citations per field
00.5×1.5×1.8×
Paolo Garza · 1×
Citations per year

Countries citing papers authored by Chun-Hao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Hao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Hao Chen. 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 Chun-Hao Chen. The network helps show where Chun-Hao Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200688
2 201960
3 200847
4 201938
5 200838
6 201934
7 201634
8 201132
9 201928
10 200924
11 200924
12 201923
13 202023
14 201523
15 200820
16 201918
17 200416
18 202015
19 200615
20 201315

About Chun-Hao Chen

Chun-Hao Chen is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Management Science and Operations Research and Signal Processing, having authored 100 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (51 papers), Rough Sets and Fuzzy Logic (37 papers), Stock Market Forecasting Methods (21 papers), Fuzzy Logic and Control Systems (20 papers), Metaheuristic Optimization Algorithms Research (19 papers), Imbalanced Data Classification Techniques (12 papers), Data Management and Algorithms (10 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Information Systems (463 citations), Computational Theory and Mathematics (319 citations), Signal Processing (179 citations), Artificial Intelligence (535 citations) and Management Science and Operations Research (183 citations). Chun-Hao Chen has collaborated with scholars based in Taiwan, Norway and China. Frequent co-authors include Tzung‐Pei Hong, Vincent S. Tseng, Jerry Chun‐Wei Lin, Yu-Lung Wu, Yeong-Chyi Lee, Chu‐Chin Hsieh, Yuyu Zhang, Guo-Cheng Lan, Jimmy Ming‐Tai Wu and Tsu‐Yang Wu. Their work appears in journals such as Soft Computing, IEEE Access, Expert Systems with Applications, Applied Soft Computing and Knowledge-Based 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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