I‐Chen Wu

1.5k citations
148 papers · 1.1k · h-index 16

Impact in

Papers in

I‐Chen Wu

128 papers receiving 906 citations

Peers

I‐Chen Wu
Comparison fields: 5 of 58
  • Artificial Intelligence 576
  • Hardware and Architecture 119
  • Computer Networks and Communications 113
  • Industrial and Manufacturing Engineering 42
  • Discrete Mathematics and Combinatorics 14
Replace Guillaume M. J. -B. Chaslot with:
Guillaume M. J. -B. Chaslot Netherlands
David J. Musliner United States
Henry Selvaraj United States
Gerardo Pardo-Castellote United States
Faiq Khalid Austria
Michel Robert France
Rafia Inam Sweden
David B. Stewart United States
Min Yao China
Basel A. Mahafzah Jordan
I‐Chen Wu relative to Guillaume M. J. -B. Chaslot Netherlands Guillaume M. J. -B. Chaslot's profile →
Citations per field
00.5×2×4×6×7×
Guillaume M. J. -B. Chaslot · 1×
Citations per year

Countries citing papers authored by I‐Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Chen Wu. 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 I‐Chen Wu. The network helps show where I‐Chen Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201041
3 200640
4 202038
5 198935
6 201130
7 202330
8 200225
9 201225
10 198723
11 198822
12 201622
13 201921
14 201120
15 200918
16 202116
17 202416
18 200815
19 202315
20 198914

About I‐Chen Wu

I‐Chen Wu is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Discrete Mathematics and Combinatorics, having authored 148 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (89 papers), Parallel Computing and Optimization Techniques (12 papers), Reinforcement Learning in Robotics (9 papers), Distributed and Parallel Computing Systems (6 papers), Constraint Satisfaction and Optimization (6 papers), Web Data Mining and Analysis (4 papers), Advanced Combinatorial Mathematics (4 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (576 citations), Hardware and Architecture (119 citations), Computer Networks and Communications (113 citations), Industrial and Manufacturing Engineering (42 citations) and Discrete Mathematics and Combinatorics (14 citations). I‐Chen Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shi-Jim Yen, Jon A. Webb, Len Hamey, Stone Cheng, Chen-Huan Pi, H. T. Kung, Yi‐Hsien Wang, Ambrose An-Po Chiang, Yi‐Shan Lin and Rodney J. Folz. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, ICGA Journal, Theoretical Computer Science, IEEE Access and IEEE Transactions on Computers.

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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