Chang Su

61 total papers · 430 total citations
21 papers, 205 citations indexed

About

Chang Su is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chang Su has authored 21 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Chang Su's work include Single-cell and spatial transcriptomics (5 papers), EEG and Brain-Computer Interfaces (3 papers) and RNA modifications and cancer (3 papers). Chang Su is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), EEG and Brain-Computer Interfaces (3 papers) and RNA modifications and cancer (3 papers). Chang Su collaborates with scholars based in United States, China and Hong Kong. Chang Su's co-authors include Tongning Wu, Lei Yang, Bin Lv, Hon‐Shiang Lau, Yao‐Yu Wang, Zhongsheng Hua, Jingfei Zhang, Hongyu Zhao, Jianlan Luo and Mel Vecerík and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and The Science of The Total Environment.

In The Last Decade

Chang Su

17 papers receiving 205 citations

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 44 33 31 28 26 21 205
Zhiya Chen 46 1.0× 26 0.8× 11 0.4× 28 1.0× 22 0.8× 54 289
Christos Konstantinou 33 0.8× 23 0.7× 18 0.6× 6 0.2× 22 0.8× 12 242
Indranath Chatterjee 17 0.4× 9 0.3× 17 0.5× 22 0.8× 6 0.2× 43 256
Zhu Jin 30 0.7× 23 0.7× 4 0.1× 26 0.9× 26 1.0× 36 291
David W. Jensen 19 0.4× 7 0.2× 32 1.0× 24 0.9× 15 0.6× 16 267
Zhenni Wang 16 0.4× 51 1.5× 2 0.1× 5 0.2× 13 0.5× 21 265
Emilio M. Sanfilippo 24 0.5× 15 0.5× 19 0.6× 24 0.9× 9 0.3× 19 261
Florian Häusler 22 0.5× 55 1.7× 4 0.1× 39 1.4× 1 0.0× 12 291
S. Shanthi 12 0.3× 4 0.1× 86 2.8× 5 0.2× 31 1.2× 30 271
Hankun Zhang 24 0.5× 12 0.4× 2 0.1× 23 0.8× 5 0.2× 27 269

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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