Bo Chen

13.3k total citations · 1 hit paper
147 papers, 2.1k citations indexed

About

Bo Chen is a scholar working on Information Systems, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Bo Chen has authored 147 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Information Systems, 51 papers in Artificial Intelligence and 32 papers in Biomedical Engineering. Recurrent topics in Bo Chen's work include Recommender Systems and Techniques (47 papers), Topic Modeling (24 papers) and Advanced Graph Neural Networks (21 papers). Bo Chen is often cited by papers focused on Recommender Systems and Techniques (47 papers), Topic Modeling (24 papers) and Advanced Graph Neural Networks (21 papers). Bo Chen collaborates with scholars based in China, Hong Kong and United States. Bo Chen's co-authors include Ruiming Tang, Jun Yu, Yong Rui, Shanben Chen, Shuo Li, Jifeng Wang, Tian Jin, Zhimin Zhou, Huifeng Guo and Kannan Srinivasan and has published in prestigious journals such as ACS Nano, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biomaterials.

In The Last Decade

Bo Chen

131 papers receiving 2.0k citations

Hit Papers

How Can Recommender Systems Benefit from Large Language M... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2024 53 citations Jianghao Lin, Xinyi Dai et al. ACM Transactions on Information Systems profile →

Peers

Bo Chen
Ping Chen China
Akash Kumar Bhoi India
Fabio Scotti Italy
Chenxi Huang China
Cen Chen China
Shuai Wang China
Yaqing Wang China
Tao Wan China
Abdeldjalil Ouahabi France
Ping Chen China
Bo Chen
Citations per year, relative to Bo Chen Bo Chen (= 1×) peers Ping Chen

Countries citing papers authored by Bo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Chen. A scholar is included among the top collaborators of Bo Chen 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 Bo Chen. Bo Chen 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
1.
Mu, Min, Bo Chen, Nianyong Chen, et al.. (2025). A fusion of oncolytic viruses and bispecific T-cell engagers for triple negative breast cancer immunotherapy. Chemical Engineering Journal. 508. 160853–160853. 1 indexed citations
2.
3.
Chen, Bo, Lian Zhou, Kai Song, Chitti Thawai, & Ya‐Wen He. (2024). Host plant-derived benzoic acid interferes with 4-hydroxybenzoic acid degradation in the phytopathogen Xanthomonas campestris by competitively binding to PobR. Phytopathology Research. 6(1). 1 indexed citations
4.
Lin, Jianghao, Xinyi Dai, Weiwen Liu, et al.. (2024). How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Transactions on Information Systems. 43(2). 1–47. 53 indexed citations breakdown →
5.
Liu, Weiwen, Jianghao Lin, Hong Zhu, et al.. (2024). Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. 12–22. 36 indexed citations
6.
7.
Lin, Jianghao, Bo Chen, Yanru Qu, et al.. (2024). ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. 3319–3330. 10 indexed citations
8.
Wang, Yejing, Zhaocheng Du, Xiangyu Zhao, et al.. (2024). ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. 5194–5205. 5 indexed citations
9.
Shen, Jie, Yong Lei, Bo Chen, et al.. (2023). Effect of biocomposite mediated magnesium ionic micro-homeostasis on cell fate regulation and bone tissue regeneration. Composites Part B Engineering. 265. 110961–110961. 13 indexed citations
10.
Chen, Bo, Weiwen Liu, Xinyi Dai, et al.. (2023). Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. 4766–4772. 1 indexed citations
11.
Chen, Bo, Xinyi Dai, Weiwen Liu, et al.. (2023). Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. 4685–4695. 5 indexed citations
12.
Chen, Bo, Xinyi Dai, Weinan Zhang, et al.. (2023). A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–31. 6 indexed citations
13.
Wang, Yejing, Zhaocheng Du, Xiangyu Zhao, et al.. (2023). Single-shot Feature Selection for Multi-task Recommendations. 341–351. 21 indexed citations
14.
15.
Lin, Junyu, et al.. (2022). Infiltration from Suspension Systems Enables Effective Modulation of 3D Scaffold Properties in Suspension Bioprinting. ACS Applied Materials & Interfaces. 14(24). 27575–27588. 10 indexed citations
16.
Chen, Bo, Huifeng Guo, Weiwen Liu, et al.. (2022). Numerical Feature Representation with HybridN-ary Encoding. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2984–2993.
17.
Lin, Liyan, Xi Tao, Wei Yang, et al.. (2021). Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE Journal of Biomedical and Health Informatics. 25(8). 2978–2987. 7 indexed citations
18.
Lin, Liyan, Xi Tao, Shumao Pang, et al.. (2020). Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE Journal of Biomedical and Health Informatics. 24(11). 3248–3257. 10 indexed citations
19.
Guo, Huifeng, Bo Chen, Ruiming Tang, Zhenguo Li, & Xiuqiang He. (2020). AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. arXiv (Cornell University). 1 indexed citations
20.
Yang, Zhen, Weiran Xu, Bo Chen, Jiani Hu, & Jun Guo. (2005). PRIS Kidult Anti-SPAM Solution at the TREC 2005 Spam Track: Improving the Performance of Naive Bayes for Spam Detection. Text REtrieval Conference.

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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