Bing Bai

1.1k total citations
28 papers, 700 citations indexed

About

Bing Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bing Bai has authored 28 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bing Bai's work include Topic Modeling (11 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Bing Bai is often cited by papers focused on Topic Modeling (11 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Bing Bai collaborates with scholars based in United States, China and Netherlands. Bing Bai's co-authors include Richard M. Leahy, Quanzheng Li, Yanjun Qi, James R. Bading, Peter S. Conti, Ali Shokoufandeh, Dmitriy Bespalov, Stefan Siegel, D.F. Newport and Simon R. Cherry and has published in prestigious journals such as Chemical Communications, International Journal of Molecular Sciences and Physics in Medicine and Biology.

In The Last Decade

Bing Bai

25 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Bai United States 10 296 204 108 91 80 28 700
William C. Barker United States 12 247 0.8× 141 0.7× 107 1.0× 87 1.0× 69 0.9× 24 694
Wenzheng Feng United States 17 287 1.0× 544 2.7× 280 2.6× 116 1.3× 88 1.1× 40 1.2k
Jeannie Hsiu Ding Wong Malaysia 21 686 2.3× 163 0.8× 366 3.4× 55 0.6× 298 3.7× 95 1.4k
Hao Peng United States 20 456 1.5× 269 1.3× 471 4.4× 66 0.7× 214 2.7× 86 1.2k
Mike Just United Kingdom 16 206 0.7× 127 0.6× 18 0.2× 108 1.2× 20 0.3× 83 909
Fuhai Chen China 16 54 0.2× 258 1.3× 57 0.5× 328 3.6× 29 0.4× 38 774
James Ledoux France 11 557 1.9× 32 0.2× 39 0.4× 20 0.2× 46 0.6× 51 980
Sam Ellis United Kingdom 11 319 1.1× 24 0.1× 76 0.7× 30 0.3× 145 1.8× 28 474

Countries citing papers authored by Bing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Bai. A scholar is included among the top collaborators of Bing 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 Bing Bai. Bing 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
1.
Qu, Yang, et al.. (2023). Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction. International Journal of Molecular Sciences. 24(22). 16496–16496. 5 indexed citations
2.
Bai, Bing, et al.. (2023). Evaluation Model of Holographic Communication Experience in the 6G Era Based on Light Field Display. Applied Sciences. 13(22). 12381–12381. 1 indexed citations
3.
Bai, Bing, et al.. (2023). CR-TransR: A Knowledge Graph Embedding Model for Cultural Domain. Journal on Computing and Cultural Heritage. 17(1). 1–11. 2 indexed citations
4.
5.
Bai, Bing, et al.. (2023). The application of knowledge graphs in the Chinese cultural field: the ancient capital culture of Beijing. Heritage Science. 11(1). 5 indexed citations
6.
Li, Yifu, Wenjun Hou, & Bing Bai. (2021). Named Entity Recognition of traditional architectural text based on BERT. 181–186. 1 indexed citations
7.
Li, Kai, Martin Renqiang Min, Bing Bai, Yun Fu, & Hans Peter Graf. (2019). On Novel Object Recognition. 2265–2268. 4 indexed citations
8.
Gopal, Siddharth, Yiming Yang, Bing Bai, & Alexandru Niculescu-Mizil. (2018). Bayesian models for Large-scale Hierarchical Classification. Figshare. 25. 2411–2419. 9 indexed citations
9.
Guo, Zhiqian, et al.. (2017). Rational design of a fast and selective near-infrared fluorescent probe for targeted monitoring of endogenous nitric oxide. Chemical Communications. 53(76). 10520–10523. 66 indexed citations
10.
Theodos, Brett, et al.. (2017). How to prevent mortgage default without skin in the game: Evidence from an integrated homeownership support nonprofit. Journal of Housing Economics. 39. 17–24. 5 indexed citations
11.
Bai, Bing, et al.. (2016). ANALOGY-BASED REASONING WITH MEMORY NETWORKS FOR FUTURE PREDICTION. Neural Information Processing Systems. 1 indexed citations
12.
Bai, Bing, James R. Bading, & Peter S. Conti. (2013). Tumor Quantification in Clinical Positron Emission Tomography. Theranostics. 3(10). 787–801. 90 indexed citations
13.
Bai, Bing, Quanzheng Li, & Richard M. Leahy. (2012). Magnetic Resonance-Guided Positron Emission Tomography Image Reconstruction. Seminars in Nuclear Medicine. 43(1). 30–44. 83 indexed citations
14.
Malon, Christopher, Bing Bai, & Kazi Saidul Hasan. (2012). Slot-Filling by Substring Extraction at TAC KBP 2012 (Team Papelo). 1 indexed citations
15.
16.
Bai, Bing, Jason Weston, David Grangier, et al.. (2009). Learning to rank with (a lot of) word features. Information Retrieval. 13(3). 291–314. 85 indexed citations
17.
Bai, Bing, Paul B. Kantor, & Ali Shokoufandeh. (2007). Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval. Lecture notes in computer science. 10(Pt 2). 742–750. 4 indexed citations
18.
Ruangma, A., Bing Bai, Jason S. Lewis, et al.. (2006). Three-dimensional maximum a posteriori (MAP) imaging with radiopharmaceuticals labeled with three Cu radionuclides. Nuclear Medicine and Biology. 33(2). 217–226. 32 indexed citations
19.
Yang, Yongfeng, Yuan‐Chuan Tai, Stefan Siegel, et al.. (2004). Optimization and performance evaluation of the microPET II scanner forin vivosmall-animal imaging. Physics in Medicine and Biology. 49(12). 2527–2545. 130 indexed citations
20.
Wacholder, Nina, Bing Bai, Diane Kelly, et al.. (2004). Designing a Realistic Evaluation of an End-to-end Interactive Question Answering System. 989–992. 2 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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