Wook Chang

921 citations
31 papers · 712 · h-index 15

Impact in

Papers in

Wook Chang

29 papers receiving 658 citations

Peers

Wook Chang
Comparison fields: 5 of 94
  • Human-Computer Interaction 213
  • Control and Systems Engineering 257
  • Cognitive Neuroscience 103
  • Statistical and Nonlinear Physics 62
  • Computer Vision and Pattern Recognition 103
Replace Ivan Tanev with:
Ivan Tanev Japan
Nikita Maksimovich Barabanov United States
Tomasz Hachaj Poland
Lin Shao China
Mathias Stäger Switzerland
Pablo Zegers Chile
Md Akhtaruzzaman Bangladesh
Xiaoming Liu China
Christopher Wren United States
Moji Ghodoussi United States
Wook Chang relative to Ivan Tanev Japan Ivan Tanev's profile →
Citations per field
00.5×2×4×6×8.5×
Ivan Tanev · 1×
Citations per year

Countries citing papers authored by Wook Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wook Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200265
3 200364
4 200459
5 200451
6
Hand grip pattern recognition for mobile user interfaces
200651
7 200241
8 198839
9 200732
10 200331
11 200429
12 200625
13
Modeling and altitude control of quad-rotor UAV
201120
14 200520
15 200420
16 199915
17 199912
18 20059
19 20048
20 20057

About Wook Chang

Wook Chang is a scholar working on Human-Computer Interaction, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 31 papers that have together received 712 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Hand Gesture Recognition Systems (8 papers), Neural Networks and Applications (5 papers), Tactile and Sensory Interactions (5 papers), Adaptive Control of Nonlinear Systems (5 papers), Interactive and Immersive Displays (5 papers), Neonatal Respiratory Health Research (4 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (213 citations), Control and Systems Engineering (257 citations), Cognitive Neuroscience (103 citations), Statistical and Nonlinear Physics (62 citations) and Computer Vision and Pattern Recognition (103 citations). Wook Chang has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Young Hoon Joo, Guanrong Chen, Sung-Jung Cho, Won-Chul Bang, Jin Bae Park, Dong-Youn Kim, Eun-Seok Choi, Jing Yang, Woo Sun Kim and Eunkyung Lee. Their work appears in journals such as Journal of Korean Medical Science, Information Sciences, Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Fuzzy Systems and BMJ Paediatrics Open.

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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