Jinfeng Bai

1.9k total citations · 2 hit papers
52 papers, 1.2k citations indexed

About

Jinfeng Bai is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jinfeng Bai has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Jinfeng Bai's work include Cancer-related gene regulation (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cancer-related Molecular Pathways (6 papers). Jinfeng Bai is often cited by papers focused on Cancer-related gene regulation (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cancer-related Molecular Pathways (6 papers). Jinfeng Bai collaborates with scholars based in China, United States and Canada. Jinfeng Bai's co-authors include Ningzhi Xu, Hongxia Zhu, Lanping Quan, Yihua Wang, Zhilong Ji, Cuiqi Zhou, Xiaobo Zhou, Yuanbiao Gou, Yijie Lin and Jiancheng Lv and has published in prestigious journals such as Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and Oncogene.

In The Last Decade

Jinfeng Bai

49 papers receiving 1.2k citations

Hit Papers

Dual Contrastive Prediction for Incomplete Multi-View Rep... 2022 2026 2023 2024 2022 2023 50 100 150

Peers

Jinfeng Bai
Comparison fields: 5 of 150
  • Molecular Biology 546
  • Computer Vision and Pattern Recognition 320
  • Artificial Intelligence 215
  • Cancer Research 193
  • Oncology 168
Replace Yingying Yu with:
Yingying Yu China
Hongyu Zhu China
Yixin Wang China
Yi Lin China
Zhengyi Liu China
John Lai Australia
Chia‐Han Lee Taiwan
Zhiping Tan China
Yongjun Piao China
Zhenye Li China
Yingying Yu China View profile →
Citations per field, relative to Jinfeng Bai
Jinfeng Bai · 1×
Citations per year, relative to Jinfeng Bai
Jinfeng Bai · 1×

Countries citing papers authored by Jinfeng Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jinfeng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfeng Bai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 24
4 4
5 9
6 17
7 1
8 19
9
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning breakdown →
161
10 50
11 37
12 67
13 9
14 21
15 21
16 43
17 66
18 34
19 64
20
[Survivin mutants reverse the malignancy of HeLa cells].
2

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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