I‐Chen Wu

2.8k citations
198 papers · 2.1k · h-index 23

Impact in

Papers in

I‐Chen Wu

180 papers receiving 2.0k citations

Peers

I‐Chen Wu
Comparison fields: 5 of 147
  • Building and Construction 379
  • Geology 115
  • Hardware and Architecture 126
  • Artificial Intelligence 567
  • Industrial and Manufacturing Engineering 125
Replace Joakim Eriksson with:
Joakim Eriksson Sweden
Young Im Cho South Korea
Sang-Woong Lee South Korea
Martin Bauer Germany
Tanveer Hussain South Korea
Mohammad Shorfuzzaman Saudi Arabia
Long Hu China
Hissam Tawfik United Kingdom
Samira Pouyanfar United States
Ankush Mittal India
I‐Chen Wu relative to Joakim Eriksson Sweden Joakim Eriksson's profile →
Citations per field
00.5×7.7×
Joakim Eriksson · 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 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009205
2 2018115
3 200793
4 201972
5 201071
6 201956
7 201151
8 201144
9 201041
10 200641
11 200740
12 202039
13 201238
14 198935
15 201931
16 201131
17 201029
18 201526
19 201225
20 202323

About I‐Chen Wu

I‐Chen Wu is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications, Economics and Econometrics and Computer Vision and Pattern Recognition, having authored 198 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (67 papers), Digital Games and Media (32 papers), Sports Analytics and Performance (25 papers), Reinforcement Learning in Robotics (20 papers), Educational Games and Gamification (17 papers), BIM and Construction Integration (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Building and Construction (379 citations), Geology (115 citations), Hardware and Architecture (126 citations), Artificial Intelligence (567 citations) and Industrial and Manufacturing Engineering (125 citations). I‐Chen Wu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Shang‐Hsien Hsieh, Shi-Jim Yen, Jon A. Webb, Wen‐Chun Hung, Antone R. Opekun, Ping‐I Hsu, Jeng–Yih Wu, Sophie S.W. Wang, Angela Chen and David Y. Graham. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, ICGA Journal, Theoretical Computer Science, International Journal of Cancer and Automation in Construction.

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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