Chang Su

60 total papers · 1.2k total citations
26 papers, 624 citations indexed

About

Chang Su is a scholar working on Artificial Intelligence, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Chang Su has authored 26 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Chang Su's work include Advanced Text Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Chang Su is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Chang Su collaborates with scholars based in United States, China and Brazil. Chang Su's co-authors include Fei Wang, Zhenxing Xu, Jyotishman Pathak, Fei Wang, Jie Tong, Yongjun Zhu, Peng Cui, Sendong Zhao, Zhiyong Lu and Matthew Brendel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Critical Care.

In The Last Decade

Chang Su

26 papers receiving 604 citations

Author Peers

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

Author						Papers	Cites
Chang Su	223	215	88	77	65	26	624
Michal Kouril	201 0.9×	79 0.4×	49 0.6×	81 1.1×	63 1.0×	24	723
Jérôme Azé	167 0.7×	173 0.8×	60 0.7×	163 2.1×	66 1.0×	49	647
Arjun P. Athreya	103 0.5×	54 0.3×	84 1.0×	15 0.2×	43 0.7×	65	617
Prasad Patil	231 1.0×	70 0.3×	32 0.4×	17 0.2×	12 0.2×	50	737
Hong-Jie Dai	329 1.5×	472 2.2×	24 0.3×	59 0.8×	36 0.6×	65	751
Jonathan H. Chan	77 0.3×	158 0.7×	28 0.3×	29 0.4×	17 0.3×	65	617
Varsha D. Badal	306 1.4×	37 0.2×	51 0.6×	52 0.7×	23 0.4×	24	554
Susan McRoy	53 0.2×	443 2.1×	34 0.4×	51 0.7×	13 0.2×	65	774
Chiara Zucco	74 0.3×	130 0.6×	32 0.4×	38 0.5×	8 0.1×	22	567
Scott L. Fleming	52 0.2×	245 1.1×	78 0.9×	24 0.3×	7 0.1×	27	706

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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