Jing Bai

783 total citations
47 papers, 607 citations indexed

About

Jing Bai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Bai has authored 47 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Biomedical Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Bai's work include Photoacoustic and Ultrasonic Imaging (23 papers), Optical Imaging and Spectroscopy Techniques (21 papers) and Medical Imaging Techniques and Applications (9 papers). Jing Bai is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (23 papers), Optical Imaging and Spectroscopy Techniques (21 papers) and Medical Imaging Techniques and Applications (9 papers). Jing Bai collaborates with scholars based in China, United States and Australia. Jing Bai's co-authors include Jianwen Luo, Fei Liu, Guanglei Zhang, Xin Liu, Daifa Wang, Nanguang Chen, Yuanzhi Cheng, Ke Liu, Bin Zhang and Wei He and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Optics Letters.

In The Last Decade

Jing Bai

46 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Bai China 16 450 391 95 94 69 47 607
Mykola M. Yaremko United States 7 544 1.2× 471 1.2× 52 0.5× 71 0.8× 70 1.0× 11 751
Max Schöbinger Germany 8 294 0.7× 160 0.4× 114 1.2× 100 1.1× 21 0.3× 12 577
Mark Hastenteufel Germany 7 230 0.5× 159 0.4× 104 1.1× 66 0.7× 21 0.3× 19 505
R. C. Bahn United States 13 355 0.8× 252 0.6× 73 0.8× 59 0.6× 14 0.2× 27 613
Hans Peter Meinzer Germany 10 277 0.6× 128 0.3× 127 1.3× 98 1.0× 13 0.2× 26 575
Udomchai Techavipoo United States 14 676 1.5× 602 1.5× 42 0.4× 39 0.4× 17 0.2× 39 782
Andrew Kalisz United States 17 772 1.7× 693 1.8× 47 0.5× 173 1.8× 148 2.1× 53 1.1k
Michael Greenebaum United States 5 392 0.9× 396 1.0× 33 0.3× 63 0.7× 112 1.6× 5 687
Tobias Kunert Germany 7 235 0.5× 134 0.3× 71 0.7× 68 0.7× 22 0.3× 13 484
U. Scheipers Germany 8 281 0.6× 183 0.5× 61 0.6× 114 1.2× 55 0.8× 24 436

Countries citing papers authored by Jing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bai. A scholar is included among the top collaborators of Jing 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 Jing Bai. Jing 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.
Li, Xiangyi, et al.. (2023). Congenital absence of the left pericardium: a case report. BMC Cardiovascular Disorders. 23(1). 247–247. 2 indexed citations
2.
Luo, Shitong, et al.. (2017). Validation of Material Algorithms for Femur Remodelling Using Medical Image Data. Applied Bionics and Biomechanics. 2017. 1–10. 2 indexed citations
3.
Zhou, Shengjun, et al.. (2013). Automatic segmentation technique for acetabulum and femoral head in CT images. Pattern Recognition. 46(11). 2969–2984. 31 indexed citations
4.
Gao, Jing, et al.. (2013). A two-step optical flow method for strain estimation in elastography: Simulation and phantom study. Ultrasonics. 54(4). 990–996. 31 indexed citations
5.
Zhang, Bin, Fuping Gao, Mengjiao Wang, et al.. (2013). In vivo tomographic imaging of lung colonization of tumour in mouse with simultaneous fluorescence and X‐ray CT. Journal of Biophotonics. 7(1-2). 110–116. 7 indexed citations
6.
Cheng, Yuanzhi, et al.. (2012). Accuracy Limits for the Thickness Measurement of the Hip Joint Cartilage in 3-D MR Images: Simulation and Validation. IEEE Transactions on Biomedical Engineering. 60(2). 517–533. 11 indexed citations
7.
Bai, Jing, Fei Liu, & Xin Liu. (2012). Progress on Multi-Modality Molecular Imaging. Current Medical Imaging Formerly Current Medical Imaging Reviews. 8(4). 295–301. 5 indexed citations
8.
Liu, Fei, Xin Liu, Daifa Wang, Bin Zhang, & Jing Bai. (2010). A Parallel Excitation Based Fluorescence Molecular Tomography System for Whole-Body Simultaneous Imaging of Small Animals. Annals of Biomedical Engineering. 38(11). 3440–3448. 43 indexed citations
9.
Xin-jian, Zhu, et al.. (2010). A snake-based method for segmentation of intravascular ultrasound images and its in vivo validation. Ultrasonics. 51(2). 181–189. 56 indexed citations
10.
Hu, Gang, Junjie Yao, & Jing Bai. (2008). Full-angle optical imaging of near-infrared fluorescent probes implanted in small animals. Progress in Natural Science Materials International. 18(6). 707–711. 18 indexed citations
11.
Bai, Jing, et al.. (2007). A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography. International Journal of Biomedical Imaging. 2007(1). 84724–84724. 2 indexed citations
12.
Bai, Jing, et al.. (2007). Elastographic Evaluation of the Temporal Formation of Ethanol-Induced Hepatic Lesions. Journal of Ultrasound in Medicine. 26(9). 1191–1199. 6 indexed citations
13.
Rui, Jia, Stefan Eberl, Lingfeng Wen, Jing Bai, & Dagan Feng. (2007). Optimal Dual Time Point for FDG-PET in the Differentiation of Benign from Malignant Lung Lesions: A Simulation Study. Conference proceedings. 44. 4169–4172. 2 indexed citations
14.
Bai, Jing, et al.. (2007). Kidney Modelling for FDG Excretion with PET. International Journal of Biomedical Imaging. 2007(1). 63234–63234. 22 indexed citations
15.
Bai, Jing. (2005). Research Development of Ultrasound Elastography. 1 indexed citations
16.
Peng, Liang, Jing Bai, Guangzhi Wang, et al.. (2005). Effects of Muscle Electrical Stimulation on Bone Mineral Density in the Hindlimb Bones of the Tail-Suspended Rats. PubMed. 79. 567–568. 1 indexed citations
17.
Zhou, Yongxin & Jing Bai. (2005). Organ Segmentation Using Atlas Registration and Fuzzy Connectedness. PubMed. 2005. 3241–3244. 1 indexed citations
18.
Bai, Jing, Tianxin Gao, Kui Ying, & Nanguang Chen. (2005). Locating inhomogeneities in tissue by using the most probable diffuse path of light. Journal of Biomedical Optics. 10(2). 24024–24024. 14 indexed citations
19.
Cui, Yunfeng & Jing Bai. (2005). Method of simulation and visualization of FDG metabolism based on VHP image. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5744. 547–547. 3 indexed citations
20.
Chen, Nanguang & Jing Bai. (1998). Monte Carlo Approach to Modeling of Boundary Conditions for the Diffusion Equation. Physical Review Letters. 80(24). 5321–5324. 18 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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