Chengcheng Mou

9 total papers · 690 total citations
5 papers, 308 citations indexed

About

Chengcheng Mou is a scholar working on Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengcheng Mou has authored 5 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Chengcheng Mou's work include Distributed and Parallel Computing Systems (2 papers), RNA and protein synthesis mechanisms (2 papers) and Parallel Computing and Optimization Techniques (1 paper). Chengcheng Mou is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), RNA and protein synthesis mechanisms (2 papers) and Parallel Computing and Optimization Techniques (1 paper). Chengcheng Mou collaborates with scholars based in United States and China. Chengcheng Mou's co-authors include Xiaoming Liu, Yi-Cheng Tu, Chang Li, Yibo Dong, Michael D. Swartz, Bing Yu, Chang Li, Yongsheng Bai, Kandethody M. Ramachandran and Shaoping Chen and has published in prestigious journals such as Human Mutation, Genome Medicine and The Computer Journal.

In The Last Decade

Chengcheng Mou

3 papers receiving 304 citations

Hit Papers

dbNSFP v4: a comprehensiv... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Chengcheng Mou 190 177 57 19 16 5 308
Jing Zhao 174 0.9× 166 0.9× 55 1.0× 19 1.0× 25 1.6× 7 306
Yvan Herenger 131 0.7× 132 0.7× 50 0.9× 15 0.8× 18 1.1× 6 246
Resie van Spaendonk 198 1.0× 181 1.0× 53 0.9× 31 1.6× 9 0.6× 3 319
Anna-Maija Sulonen 165 0.9× 86 0.5× 64 1.1× 57 3.0× 17 1.1× 5 257
Thomas Ried 221 1.2× 126 0.7× 88 1.5× 47 2.5× 8 0.5× 7 355
Denise E. Mauldin 177 0.9× 178 1.0× 39 0.7× 10 0.5× 17 1.1× 7 302
L. P. Kuyt 162 0.9× 53 0.3× 37 0.6× 25 1.3× 18 1.1× 5 310
Valérie Boitez 171 0.9× 99 0.6× 52 0.9× 21 1.1× 34 2.1× 8 311
Fergus J. Couch 210 1.1× 72 0.4× 45 0.8× 14 0.7× 7 0.4× 10 301
Margot Brandt 148 0.8× 95 0.5× 35 0.6× 12 0.6× 41 2.6× 8 269

Countries citing papers authored by Chengcheng Mou

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Mou. A scholar is included among the top collaborators of Chengcheng Mou 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 Chengcheng Mou. Chengcheng Mou 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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