Chang Che

812 citations
47 papers · 561 · h-index 14

Impact in

Papers in

Chang Che

46 papers receiving 535 citations

Peers

Chang Che
Comparison fields: 5 of 104
  • Computer Networks and Communications 133
  • Artificial Intelligence 158
  • Health Information Management 22
  • Health Informatics 6
  • Computer Vision and Pattern Recognition 82
Replace Jehad F. Al‐Amri with:
Jehad F. Al‐Amri Saudi Arabia
Aized Amin Soofi Pakistan
Abdulmohsen Algarni Saudi Arabia
Kolla Bhanu Prakash India
Omar Ibrahim Obaid Iraq
Yi Zhuang China
Harish Kumar Saudi Arabia
Yan Zhu China
Zahia Guessoum France
Chang Che relative to Jehad F. Al‐Amri Saudi Arabia Jehad F. Al‐Amri's profile →
Citations per field
00.5×10×15×19×
Jehad F. Al‐Amri · 1×
Citations per year

Countries citing papers authored by Chang Che

Since Specialization
Citations

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

Fields of papers citing papers by Chang Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202346
2 200743
3 202438
4 202337
5 202336
6 202434
7 201834
8 202333
9 201827
10 201925
11 202423
12 202322
13 202322
14 202415
15 202411
16 201911
17 202410
18 202110
19
BESM: A Balancing Energy-aware Sensor Management Protocol for Wireless Sensor Network
200610
20 20249

About Chang Che

Chang Che is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 47 papers that have together received 561 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Mobile Ad Hoc Networks (2 papers), Multimodal Machine Learning Applications (2 papers), Stability and Control of Uncertain Systems (2 papers), Fuzzy Logic and Control Systems (2 papers), Neural Networks Stability and Synchronization (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Computer Networks and Communications (133 citations), Artificial Intelligence (158 citations), Health Information Management (22 citations), Health Informatics (6 citations) and Computer Vision and Pattern Recognition (82 citations). Chang Che has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Shulin Li, Chen Li, Yunpeng Xu, Haibin Yu, Shengxian Zhuang, Bo Liu, Wei Liang, Hao Hu, Lin Liu and Junru Tian. Their work appears in journals such as IEEE Access, Journal of Molecular and Cellular Cardiology, Medical Physics, PeerJ Computer Science and Advanced Science.

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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