Chang Chen

779 citations
43 papers · 322 · h-index 10

Impact in

Papers in

Chang Chen

37 papers receiving 310 citations

Peers

Chang Chen
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 85
  • Information Systems 93
  • Computer Networks and Communications 86
  • Artificial Intelligence 90
  • Human-Computer Interaction 14
Replace S. Prabu with:
S. Prabu India
Kusprasapta Mutijarsa Indonesia
Chang-Joo Moon South Korea
Pritee Parwekar India
Chi Jiang China
D. Vijendra Babu India
Eoghan Furey Ireland
Xudong Yang China
Bartłomiej Śnieżyński Poland
Chang Chen relative to S. Prabu India S. Prabu's profile →
Citations per field
00.5×
S. Prabu · 1×
Citations per year

Countries citing papers authored by Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201949
2 202047
3 202323
4 201922
5 201720
6 201218
7 201617
8 202313
9 200913
10 200612
11 20219
12 20147
13 20127
14 20247
15 20185
16 20225
17 20235
18 20195
19
When Teachers Are Learning, Children Are Too: Teaching Teachers about Assessment.
20054
20 20204

About Chang Chen

Chang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 43 papers that have together received 322 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (11 papers), Advanced Steganography and Watermarking Techniques (4 papers), Cryptography and Data Security (4 papers), Video Coding and Compression Technologies (3 papers), Advanced Data Compression Techniques (3 papers), Privacy-Preserving Technologies in Data (3 papers), Robotic Path Planning Algorithms (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (85 citations), Information Systems (93 citations), Computer Networks and Communications (86 citations), Artificial Intelligence (90 citations) and Human-Computer Interaction (14 citations). Chang Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Teng Huang, Peichang Shi, Wentao Yang, Huaimin Wang, Zhiwei Xiong, Dong Liu, Fangxin Chen, Zhen Cheng, Lejiang Guo and Youliang Yan. Their work appears in journals such as Information Sciences, Advanced Engineering Informatics, Digital Communications and Networks, The Journal of Arthroplasty and IEEE Transactions on Wireless Communications.

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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