Jingwen Bai

15.5k total citations · 2 hit papers
6 papers, 4.4k citations indexed

About

Jingwen Bai is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Jingwen Bai has authored 6 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Jingwen Bai's work include Research Data Management Practices (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Scientific Computing and Data Management (2 papers). Jingwen Bai is often cited by papers focused on Research Data Management Practices (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Scientific Computing and Data Management (2 papers). Jingwen Bai collaborates with scholars based in China, United Kingdom and Germany. Jingwen Bai's co-authors include Juan Antonio Vizcaíno, Chakradhar Bandla, Yasset Pérez‐Riverol, Selvakumar Kamatchinathan, Ananth Prakash, Shengbo Wang, Mathias Walzer, Deepti J Kundu, Suresh Hewapathirana and David García‐Seisdedos and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Journal of Proteome Research.

In The Last Decade

Jingwen Bai

6 papers receiving 4.4k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

2021 3.9k citations Yasset Pérez‐Riverol, Jingwen Bai et al. Nucleic Acids Research profile →
The PRIDE database at 20 years: 2025 update

2024 375 citations Yasset Pérez‐Riverol, Chakradhar Bandla et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jingwen Bai China	5	2.7k	472	451	416	358	6	4.4k
David García‐Seisdedos Spain	10	2.6k 1.0×	441 0.9×	439 1.0×	431 1.0×	379 1.1×	16	4.2k
Shengbo Wang United Kingdom	5	2.7k 1.0×	472 1.0×	454 1.0×	430 1.0×	358 1.0×	6	4.3k
Suresh Hewapathirana United Kingdom	2	2.7k 1.0×	472 1.0×	451 1.0×	412 1.0×	358 1.0×	6	4.3k
Chakradhar Bandla United Kingdom	4	2.7k 1.0×	472 1.0×	451 1.0×	417 1.0×	358 1.0×	6	4.3k
Deepti J Kundu United Kingdom	6	2.7k 1.0×	473 1.0×	456 1.0×	452 1.1×	362 1.0×	9	4.4k
Selvakumar Kamatchinathan United Kingdom	3	2.7k 1.0×	472 1.0×	451 1.0×	413 1.0×	358 1.0×	5	4.3k
Ananth Prakash United Kingdom	11	3.2k 1.2×	495 1.0×	480 1.1×	477 1.1×	371 1.0×	18	4.9k
Mathias Walzer Germany	13	3.2k 1.2×	518 1.1×	467 1.0×	796 1.9×	395 1.1×	20	4.9k
Tobias Ternent United Kingdom	8	2.6k 0.9×	369 0.8×	359 0.8×	731 1.8×	270 0.8×	9	3.9k
Tamar Ziv Israel	38	2.6k 0.9×	417 0.9×	528 1.2×	226 0.5×	406 1.1×	101	4.0k

Countries citing papers authored by Jingwen Bai

Since Specialization

Citations

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

Fields of papers citing papers by Jingwen Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwen Bai

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Pérez‐Riverol, Yasset, Chakradhar Bandla, Deepti J Kundu, et al.. (2024). The PRIDE database at 20 years: 2025 update. Nucleic Acids Research. 53(D1). D543–D553. 375 indexed citations breakdown →

2.

Bai, Jingwen, Chakradhar Bandla, Roberto Vera Alvarez, et al.. (2021). BioContainers Registry: Searching Bioinformatics and Proteomics Tools, Packages, and Containers. Journal of Proteome Research. 20(4). 2056–2061. 17 indexed citations

3.

Pérez‐Riverol, Yasset, Jingwen Bai, Chakradhar Bandla, et al.. (2021). The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Research. 50(D1). D543–D552. 3918 indexed citations breakdown →

4.

Wu, Wentao, Yuqian Wang, Huimin Li, et al.. (2017). Evolution Analysis of the Aux/IAA Gene Family in Plants Shows Dual Origins and Variable Nuclear Localization Signals. International Journal of Molecular Sciences. 18(10). 2107–2107. 46 indexed citations

5.

Yan, Yan, et al.. (2016). Automated atrial fibrillation detection based on deep learning network. 1159–1164. 27 indexed citations

6.

Zhang, Licai & Jingwen Bai. (2010). A Novel Color Image Filtering Algorithm-Based on Gray Scale Space Extremum-median Filter. 36. 179–182. 1 indexed citations

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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