Cheng‐Bin Jin

1.1k total citations
32 papers, 802 citations indexed

About

Cheng‐Bin Jin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Cheng‐Bin Jin has authored 32 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Cheng‐Bin Jin's work include Adaptive optics and wavefront sensing (6 papers), Cryptographic Implementations and Security (6 papers) and Video Surveillance and Tracking Methods (6 papers). Cheng‐Bin Jin is often cited by papers focused on Adaptive optics and wavefront sensing (6 papers), Cryptographic Implementations and Security (6 papers) and Video Surveillance and Tracking Methods (6 papers). Cheng‐Bin Jin collaborates with scholars based in China, South Korea and Vietnam. Cheng‐Bin Jin's co-authors include Hakil Kim, Jin Bai, Wenzhi Chen, Kun Zhou, Hai-Bing Su, Kequan Li, Hui Zhu, Lian Zhang, Zhibiao Wang and In Ho Han and has published in prestigious journals such as Scientific Reports, Radiology and Sensors.

In The Last Decade

Cheng‐Bin Jin

30 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Bin Jin China 12 304 232 185 124 111 32 802
Masahiro Hashimoto Japan 15 233 0.8× 237 1.0× 107 0.6× 231 1.9× 140 1.3× 132 1.1k
Hui Ding China 16 264 0.9× 165 0.7× 194 1.0× 450 3.6× 91 0.8× 84 1.0k
Xiaohong Ma China 16 128 0.4× 536 2.3× 185 1.0× 73 0.6× 211 1.9× 57 948
Weiwei Wu China 18 228 0.8× 311 1.3× 158 0.9× 122 1.0× 163 1.5× 36 877
Jochen Krücker United States 14 334 1.1× 451 1.9× 179 1.0× 33 0.3× 77 0.7× 23 806
Eigil Samset Norway 25 444 1.5× 628 2.7× 314 1.7× 51 0.4× 88 0.8× 103 1.7k
Stephan Zidowitz Germany 15 109 0.4× 178 0.8× 145 0.8× 42 0.3× 41 0.4× 37 565
Joseph Y. Cheng United States 22 229 0.8× 1.3k 5.5× 302 1.6× 71 0.6× 86 0.8× 55 1.9k

Countries citing papers authored by Cheng‐Bin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Bin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Bin Jin. 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 Cheng‐Bin Jin. The network helps show where Cheng‐Bin Jin may publish in the future.

Co-authorship network of co-authors of Cheng‐Bin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Bin Jin. A scholar is included among the top collaborators of Cheng‐Bin Jin 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 Cheng‐Bin Jin. Cheng‐Bin Jin 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.
Jin, Cheng‐Bin & Yongbin Zhou. (2023). Enhancing non-profiled side-channel attacks by time-frequency analysis. Cybersecurity. 6(1). 2 indexed citations
2.
Kakani, Vijay, Cheng‐Bin Jin, & Hakil Kim. (2023). Segmentation-based ID preserving iris synthesis using generative adversarial networks. Multimedia Tools and Applications. 83(9). 27589–27617. 6 indexed citations
3.
Jin, Cheng‐Bin & Yongbin Zhou. (2022). Enhancing Deep-Learning Based Side-Channel Analysis Through Simultaneously Multi-Byte Training. The Computer Journal. 66(11). 2674–2704. 1 indexed citations
4.
Li, Huizhong, et al.. (2021). Transparency order versus confusion coefficient: a case study of NIST lightweight cryptography S-Boxes. Cybersecurity. 4(1). 6 indexed citations
5.
Jin, Cheng‐Bin, et al.. (2021). Breaking real-world COTS USIM cards with unknown side-channel countermeasures. Computers & Security. 113. 102531–102531. 4 indexed citations
6.
Wang, Yukun, Cheng‐Bin Jin, Rui Wang, et al.. (2021). Zernike mode analysis of an adaptive optics system for horizontal free-space laser communication. Journal of Optics. 23(10). 105701–105701. 3 indexed citations
7.
Lee, Jung Hwan, In Ho Han, Dong Hwan Kim, et al.. (2020). Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study. Journal of Korean Neurosurgical Society. 63(3). 386–396. 38 indexed citations
8.
Jin, Cheng‐Bin, Wenqiang Sun, Quanquan Mu, et al.. (2020). Correction performance estimation of atmospheric turbulence based on eigenmode method. Optics Communications. 466. 125661–125661. 2 indexed citations
9.
Li, Huizhong, et al.. (2020). The Notion of Transparency Order, Revisited. The Computer Journal. 63(12). 1915–1938. 18 indexed citations
10.
Wang, Yukun, Dayu Li, Rui Wang, et al.. (2019). High-bandwidth fine tracking system for optical communication with double closed-loop control method. Optical Engineering. 58(2). 1–1. 4 indexed citations
11.
Liu, Mingjie, Cheng‐Bin Jin, Bin Yang, Xuenan Cui, & Hakil Kim. (2018). Occlusion‐robust object tracking based on the confidence of online selected hierarchical features. IET Image Processing. 12(11). 2023–2029. 4 indexed citations
12.
Wang, Yukun, Huanyu Xu, Dayu Li, et al.. (2018). Performance analysis of an adaptive optics system for free-space optics communication through atmospheric turbulence. Scientific Reports. 8(1). 1124–1124. 89 indexed citations
13.
Liu, Mingjie, Cheng‐Bin Jin, Bin Yang, Xuenan Cui, & Hakil Kim. (2018). Online multiple object tracking using confidence score‐based appearance model learning and hierarchical data association. IET Computer Vision. 13(3). 312–318. 10 indexed citations
14.
Jin, Cheng‐Bin, et al.. (2018). Real-Time Action Detection in Video Surveillance using a Sub-Action Descriptor with Multi-Convolutional Neural Networks. Journal of Institute of Control Robotics and Systems. 24(3). 298–308. 10 indexed citations
15.
Li, Wei, Cheng‐Bin Jin, Mingjie Liu, Hakil Kim, & Xuenan Cui. (2017). Local similarity refinement of shape‐preserved warping for parallax‐tolerant image stitching. IET Image Processing. 12(5). 661–668. 7 indexed citations
16.
Jin, Cheng‐Bin, et al.. (2015). Improvement of Accuracy for Human Action Recognition by Histogram of Changing Points and Average Speed Descriptors. Journal of Computing Science and Engineering. 9(1). 29–38. 1 indexed citations
17.
Li, Shengzhe, et al.. (2015). A simplified nonlinear regression method for human height estimation in video surveillance. EURASIP Journal on Image and Video Processing. 2015(1). 22 indexed citations
18.
Chen, Wenzhi, Hui Zhu, Lian Zhang, et al.. (2010). Primary Bone Malignancy: Effective Treatment with High-Intensity Focused Ultrasound Ablation. Radiology. 255(3). 967–978. 97 indexed citations
19.
Zhu, Hui, Kun Zhou, Lian Zhang, et al.. (2008). High intensity focused ultrasound (HIFU) therapy for local treatment of hepatocellular carcinoma: Role of partial rib resection. European Journal of Radiology. 72(1). 160–166. 65 indexed citations
20.
Zhang, Lian, Hui Zhu, Cheng‐Bin Jin, et al.. (2008). High-intensity focused ultrasound (HIFU): effective and safe therapy for hepatocellular carcinoma adjacent to major hepatic veins. European Radiology. 19(2). 437–445. 150 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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