Baisen Cong

10 total papers · 867 total citations
8 papers, 609 citations indexed

About

Baisen Cong is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Baisen Cong has authored 8 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Baisen Cong's work include Computational Drug Discovery Methods (4 papers), Advanced Neural Network Applications (4 papers) and Brain Tumor Detection and Classification (3 papers). Baisen Cong is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Advanced Neural Network Applications (4 papers) and Brain Tumor Detection and Classification (3 papers). Baisen Cong collaborates with scholars based in United States, China and Canada. Baisen Cong's co-authors include Guanqiu Qi, Zhiqin Zhu, Yuanyuan Li, Yü Liu, Neal Mazur, Xinbo Gao, Litao Bai, Yuanyuan Li, Xin Zheng and Yifei Gong and has published in prestigious journals such as Expert Systems with Applications, Information Fusion and Engineering Applications of Artificial Intelligence.

In The Last Decade

Baisen Cong

7 papers receiving 599 citations

Hit Papers

Brain tumor segmentation ... 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
    2022 365 citations Zhiqin Zhu, Guanqiu Qi et al. Information Fusion profile →

Author Peers

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

Author Last Decade Papers Cites
Baisen Cong 332 202 137 134 133 8 609
Min Li 223 0.7× 222 1.1× 95 0.7× 274 2.0× 286 2.2× 23 685
Peiman Keshavarzian 133 0.4× 79 0.4× 231 1.7× 84 0.6× 29 0.2× 23 681
Juan C. Caicedo 278 0.8× 43 0.2× 276 2.0× 29 0.2× 165 1.2× 3 679
Mohammed Yusuf Ansari 169 0.5× 61 0.3× 154 1.1× 28 0.2× 36 0.3× 20 676
Marzieh Haghighi 234 0.7× 38 0.2× 219 1.6× 30 0.2× 167 1.3× 15 651
Abeer Saber 150 0.5× 137 0.7× 389 2.8× 39 0.3× 30 0.2× 24 639
Hamid Reza Hassanzadeh 57 0.2× 159 0.8× 250 1.8× 50 0.4× 151 1.1× 9 643
Xujing Yao 177 0.5× 92 0.5× 197 1.4× 11 0.1× 20 0.2× 11 608
Mohamed Abdel Hameed 344 1.0× 71 0.4× 172 1.3× 22 0.2× 27 0.2× 19 612
Jiao Hu 96 0.3× 21 0.1× 363 2.6× 112 0.8× 44 0.3× 14 636

Countries citing papers authored by Baisen Cong

Since Specialization
Citations

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

Fields of papers citing papers by Baisen Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baisen Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Baisen Cong. A scholar is included among the top collaborators of Baisen Cong 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 Baisen Cong. Baisen Cong 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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2026