Chao-Lin Wu

920 citations
33 papers · 672 indexed · h-index 14

Chao-Lin Wu

33 papers receiving 611 citations

Peers

Chao-Lin Wu
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 307
  • Computer Networks and Communications 236
  • Electrical and Electronic Engineering 426
  • Human-Computer Interaction 28
  • Transportation 31
Replace Alessandra De Paola with:
Alessandra De Paola Italy
Vincenzo Mighali Italy
Ali Asghar Nazari Shirehjini Canada
Felipe Gil‐Castiñeira Spain
Chyi‐Ren Dow Taiwan
Dritan Kaleshi United Kingdom
Lien‐Wu Chen Taiwan
Edward T.-H. Chu Taiwan
Xueshi Hou United States
Hyunbum Kim South Korea
Chao-Lin Wu relative to Alessandra De Paola Italy Alessandra De Paola's profile →
Citations per field
00.5×1.5×2.1×
Alessandra De Paola · 1×
Citations per year

Countries citing papers authored by Chao-Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Lin 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 Chao-Lin Wu. The network helps show where Chao-Lin Wu may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Chao-Lin 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 Chao-Lin Wu Line = papers co-authored together Chao-Lin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20178
2 20176
3 201617
4 20163
5 20165
6 20152
7 201521
8 20145
9 201416
10 201312
11 201217
12 201025
13 20086
14
Real-Time Fine-Grained Multiple-Target Tracking on an Extensible Virtual Fab Architecture Using Multi-Agents
20073
15 200632
16 20067
17 20061
18 20047
19 200472
20 200255

About Chao-Lin Wu

Chao-Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Transportation, Computer Networks and Communications, Computer Science Applications and Electrical and Electronic Engineering, having authored 33 papers that have together received 672 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (22 papers), IoT-based Smart Home Systems (15 papers), Smart Grid Energy Management (7 papers), Indoor and Outdoor Localization Technologies (6 papers), IoT and Edge/Fog Computing (6 papers), Human Mobility and Location-Based Analysis (6 papers), Mobile Agent-Based Network Management (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Computer Networks and Communications (236 citations), Electrical and Electronic Engineering (426 citations), Human-Computer Interaction (28 citations) and Transportation (31 citations). Chao-Lin Wu has collaborated with scholars based in Taiwan, United Kingdom and Slovenia. Frequent co-authors include Li‐Chen Fu, Chun-Feng Liao, Ching-Hu Lu, Feng‐Li Lian, Chia‐Hui Chen, Jane Yung-jen Hsu, Wei-Chen Wang, Chuang-Wen You, Zhiyang Chen and Ling‐Jyh Chen. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, International Journal of Electrical Power & Energy Systems and IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews).

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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