Chuan‐Jun Su

48 papers receiving 993 citations

Peers

Chuan‐Jun Su
Comparison fields: 5 of 122
  • Industrial and Manufacturing Engineering 216
  • Human-Computer Interaction 97
  • Management of Technology and Innovation 113
  • Computer Vision and Pattern Recognition 236
  • Rehabilitation 61
Replace Iván García‐Magariño with:
Iván García‐Magariño Spain
Matthew Gombolay United States
Goreti Marreiros Portugal
Ludovic Koehl France
Davide Calvaresi Switzerland
Dharmaraj Veeramani United States
Christophe Kolski France
Carlos Ferreira Portugal
Dimitri Konstantas Switzerland
V. Sundramoorthy United Kingdom
Chuan‐Jun Su relative to Iván García‐Magariño Spain Iván García‐Magariño's profile →
Citations per field
00.5×7.1×
Iván García‐Magariño · 1×
Citations per year

Countries citing papers authored by Chuan‐Jun Su

Since Specialization
Citations

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

Fields of papers citing papers by Chuan‐Jun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan‐Jun Su. 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 Chuan‐Jun Su. The network helps show where Chuan‐Jun Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014125
2 2009101
3 200196
4 199983
5 199864
6 199758
7 201857
8 201755
9 201343
10 199534
11 201333
12 201830
13 201429
14 200229
15 201124
16 199923
17 199817
18 201316
19 201216
20 201113

About Chuan‐Jun Su

Chuan‐Jun Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Networks and Communications and Information Systems, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Manufacturing Process and Optimization (9 papers), Service-Oriented Architecture and Web Services (6 papers), Business Process Modeling and Analysis (5 papers), Mobile Agent-Based Network Management (5 papers), IoT and Edge/Fog Computing (4 papers), Semantic Web and Ontologies (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (216 citations), Human-Computer Interaction (97 citations), Management of Technology and Innovation (113 citations), Computer Vision and Pattern Recognition (236 citations) and Rehabilitation (61 citations). Chuan‐Jun Su has collaborated with scholars based in Taiwan, Hong Kong and United States. Frequent co-authors include Mitchell M. Tseng, Vincent G. Duffy, Qinhai Ma, Jianxin Jiao, M. Eugene Merchant, M.M. Tseng, Ming Lei, Richard J. Mayer, Chen-Yang Cheng and Pei-Fang Tsai. Their work appears in journals such as Computers in Industry, International Journal of Environmental Research and Public Health, Computers & Industrial Engineering, Sensors and Computers & Electrical Engineering.

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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