Chang Sun

1.1k citations
8 papers · 755 indexed · 1 hit paper · h-index 5
Topics
Advanced Neural Network Applications (4 papers)Neural Networks and Applications (3 papers)Fuzzy Logic and Control Systems (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Chang Sun

7 papers receiving 692 citations

Hit Papers

Functional equivalence between radial basis function netw...19932026200420151993200400600

Peers

Chang Sun
Comparison fields: 5 of 88
  • Artificial Intelligence 491
  • Control and Systems Engineering 234
  • Computer Vision and Pattern Recognition 119
  • Electrical and Electronic Engineering 74
  • Statistics and Probability 61
Replace Pei-hong Wang with:
Pei-hong Wang China
Dejan Dovžan Slovenia
Chin-Chin Lin Taiwan
Zhizhong Mao China
Mário Garcia United States
Zhi‐gang Su China
Martin E. Liggins United States
François Delmotte France
Shin‐ichi Horikawa Japan
Qiang Hua China
Chang Sun relative to Pei-hong Wang China Pei-hong Wang's profile →
Citations per field
00.5×1.5×2.0×
Pei-hong Wang · 1×
Citations per year

Countries citing papers authored by Chang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Sun. A scholar is included among the top collaborators of Chang Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang Sun. Chang Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 3
3 23
4 54
5 1
6 5
7 41
8
Functional equivalence between radial basis function networks and fuzzy inference systemsbreakdown →
628

About Chang Sun

Chang Sun is a scholar working on Computer Vision and Pattern Recognition, Clinical Biochemistry and Artificial Intelligence, having authored 8 papers that have together received 755 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Neural Networks and Applications (3 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Artificial Intelligence (491 citations), Control and Systems Engineering (234 citations) and Statistics and Probability (61 citations). Chang Sun has collaborated with scholars based in China and United States. Frequent co-authors include Jyh‐Shing Roger Jang, Weidong Zhang, Sheng Wang, Yibo Ai, Zibin Liu, Yanfei Jiang and Junbo Wang. Their work appears in journals such as Sensors, Phytomedicine and Electronics.

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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