Jinbo Bi
Impact in
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Applied Psychology top 2%
- Digital Mental Health Interventions
Papers in
-
- Digital Mental Health Interventions 14
- Co-authors
- Kristin P. BennettJames Z. WangYixin ChenChao ShangGuoqing ChaoShiliang SunJiangwen SunJin Lü
- Journals
- Neurocomputing (3 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)Information Sciences (2 papers)Bioinformatics (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jinbo Bi
142 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 1.6k
- Applied Psychology 299
- Artificial Intelligence 1.9k
- Computational Mathematics 31
- Media Technology 231
Countries citing papers authored by Jinbo Bi
This map shows the geographic impact of Jinbo Bi'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 Jinbo Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinbo Bi more than expected).
Fields of papers citing papers by Jinbo Bi
This network shows the impact of papers produced by Jinbo Bi. 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 Jinbo Bi. The network helps show where Jinbo Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinbo Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 23 | |
| 10 | A Survey on Multiview Clustering Hit paper breakdown → | 2021 | 272 |
| 11 | 2021 | 30 | |
| 12 | 2019 | 63 | |
| 13 | Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. | 2019 | 1 |
| 14 | Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. | 2018 | 0 |
| 15 | Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization | 2015 | 34 |
| 16 | 2010 | 3 | |
| 17 | 2007 | 30 | |
| 18 | Support Vector Classification with Input Data Uncertainty | 2004 | 120 |
| 19 | Multi-objective programming in SVMs | 2003 | 12 |
| 20 | Regression error characteristic curves | 2003 | 141 |
About Jinbo Bi
Jinbo Bi is a scholar working on Computational Mathematics, Applied Psychology, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 150 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mental Health Research Topics (17 papers), Digital Mental Health Interventions (14 papers), Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (11 papers), Computational Drug Discovery Methods (11 papers), Nonlinear Waves and Solitons (11 papers), Image Retrieval and Classification Techniques (10 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Applied Psychology (299 citations), Artificial Intelligence (1.9k citations), Computational Mathematics (31 citations) and Media Technology (231 citations). Jinbo Bi has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kristin P. Bennett, James Z. Wang, Yixin Chen, Chao Shang, Guoqing Chao, Shiliang Sun, Jiangwen Sun, Jin Lü, Kai Yu and Volker Tresp. Their work appears in journals such as Neurocomputing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Information Sciences, Bioinformatics and IEEE Internet of Things Journal.
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.