Chang Su

99 total papers · 1.9k total citations
43 papers, 1.1k citations indexed

About

Chang Su is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Chang Su has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Chang Su's work include Natural Language Processing Techniques (18 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (6 papers). Chang Su is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (6 papers). Chang Su collaborates with scholars based in China, United States and Taiwan. Chang Su's co-authors include Jiang Bian, Peter Walker, Benjamin S. Glicksberg, Jie Xu, Fei Wang, Shuangqi Li, Hongwen He, Pengfei Zhao, Xianzhong Xie and Yijiang Chen and has published in prestigious journals such as Applied Energy, Neurocomputing and Applied Sciences.

In The Last Decade

Chang Su

40 papers receiving 1.1k citations

Hit Papers

Federated Learning for He... 2020 2026 2022 2024 2020 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chang Su 714 170 159 121 119 43 1.1k
Abdullah Aman Khan 408 0.6× 285 1.7× 260 1.6× 98 0.8× 130 1.1× 52 1.1k
Jay Kumar 565 0.8× 321 1.9× 57 0.4× 109 0.9× 251 2.1× 37 1.0k
Tehseen Mazhar 323 0.5× 274 1.6× 287 1.8× 71 0.6× 333 2.8× 91 1.3k
Mohammed Ali Al-Garadi 737 1.0× 165 1.0× 75 0.5× 56 0.5× 160 1.3× 45 1.4k
Saima Sadiq 579 0.8× 183 1.1× 62 0.4× 26 0.2× 117 1.0× 42 1.3k
Jingping Liu 493 0.7× 115 0.7× 38 0.2× 232 1.9× 25 0.2× 63 1.2k
Chen Zhang 996 1.4× 250 1.5× 153 1.0× 39 0.3× 228 1.9× 45 1.4k
Omar A. Alzubi 604 0.8× 286 1.7× 237 1.5× 28 0.2× 493 4.1× 50 1.3k
Yuan Gao 991 1.4× 244 1.4× 160 1.0× 37 0.3× 272 2.3× 46 1.5k
Linyi Yang 660 0.9× 173 1.0× 55 0.3× 81 0.7× 80 0.7× 24 1.2k

Countries citing papers authored by Chang Su

Since Specialization
Citations

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

Fields of papers citing papers by Chang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Su. A scholar is included among the top collaborators of Chang Su 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 Su. Chang Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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