Cheng Bian

2.3k total citations
21 papers, 487 citations indexed

About

Cheng Bian is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Cheng Bian has authored 21 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Cheng Bian's work include Retinal Imaging and Analysis (5 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Cheng Bian is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Cheng Bian collaborates with scholars based in China, Hong Kong and Canada. Cheng Bian's co-authors include Shuang Yu, Yefeng Zheng, Kai Ma, Wei Ji, Xin Yang, Jing Qin, Shan Huang, Baiying Lei, Ran Li and Jie‐Zhi Cheng and has published in prestigious journals such as PLANT PHYSIOLOGY, Food Chemistry and IEEE Transactions on Medical Imaging.

In The Last Decade

Cheng Bian

19 papers receiving 476 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 Bian China 12 228 225 224 60 42 21 487
Prabhpreet Kaur India 12 158 0.7× 185 0.8× 178 0.8× 37 0.6× 73 1.7× 43 501
Liangliang Liu China 8 175 0.8× 117 0.5× 160 0.7× 49 0.8× 70 1.7× 21 481
Chaoyu Chen China 8 146 0.6× 98 0.4× 118 0.5× 37 0.6× 27 0.6× 18 336
Abdolvahab Ehsani Rad Malaysia 8 243 1.1× 133 0.6× 157 0.7× 120 2.0× 63 1.5× 16 496
Quande Liu Hong Kong 8 277 1.2× 384 1.7× 439 2.0× 74 1.2× 83 2.0× 10 753
Alireza Norouzi Malaysia 10 368 1.6× 144 0.6× 173 0.8× 86 1.4× 63 1.5× 14 643
Aaron Loh United States 3 86 0.4× 189 0.8× 227 1.0× 33 0.6× 27 0.6× 3 375
Anfei Fan United States 3 585 2.6× 160 0.7× 132 0.6× 105 1.8× 36 0.9× 6 699
Samuel Budd United Kingdom 4 69 0.3× 111 0.5× 173 0.8× 39 0.7× 21 0.5× 6 359
Saqib Qamar China 10 160 0.7× 86 0.4× 119 0.5× 60 1.0× 79 1.9× 22 382

Countries citing papers authored by Cheng Bian

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Bian. A scholar is included among the top collaborators of Cheng Bian 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 Bian. Cheng Bian 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.
Jiang, Kezhi, Lihui Duan, Cheng Bian, et al.. (2025). The transcription factor GmbZIP131 enhances soybean salt tolerance by regulating flavonoid biosynthesis. PLANT PHYSIOLOGY. 197(3). 2 indexed citations
2.
Bi, Haijun, Qi Zhang, Cheng Bian, et al.. (2025). Melatonin promoted terpene accumulation of blueberries during postharvest partial dehydration. Food Chemistry. 472. 142969–142969. 1 indexed citations
3.
Li, Jiaxin, Huan Su, Cheng Bian, et al.. (2024). Study on the 2D equivalent nonlinear dynamics simulation model related to high speed precision bearing and spindle. Precision Engineering. 91. 358–371.
4.
Wang, Yu, Yu Fu, Qi Zhang, et al.. (2024). Enhancement of ester biosynthesis in blueberry wines through co-fermentation via cell–cell contact between Torulaspora delbrueckii and Saccharomyces cerevisiae. Food Research International. 179. 114029–114029. 12 indexed citations
5.
Bi, Qi, Xu Sun, Shuang Yu, et al.. (2023). MIL-ViT: A multiple instance vision transformer for fundus image classification. Journal of Visual Communication and Image Representation. 97. 103956–103956. 23 indexed citations
6.
Shi, Bo, Cheng Bian, Zhigang Li, et al.. (2023). Imaging findings of hepatocellular carcinoma with portal vein tumor thrombosis secondary to hepatic portal vein collateral circulation: a cross-sectional study. Journal of Gastrointestinal Oncology. 14(1). 334–351. 1 indexed citations
7.
Ji, Wei, Jingjing Li, Cheng Bian, Zhicheng Zhang, & Li Cheng. (2023). SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images. 3307–3316. 8 indexed citations
8.
Ji, Wei, Jingjing Li, Cheng Bian, et al.. (2023). Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. 1094–1104. 12 indexed citations
9.
Chen, Wenting, Shuang Yu, Kai Ma, et al.. (2021). TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Analysis. 77. 102340–102340. 23 indexed citations
10.
Xing, Tao, Cheng Bian, Yuexiang Li, et al.. (2021). The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. 1284–1287. 2 indexed citations
11.
Bian, Cheng, Chenglang Yuan, Kai Ma, et al.. (2021). Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(5). 1043–1056. 26 indexed citations
12.
Ji, Wei, Shuang Yu, Junde Wu, et al.. (2021). Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling. 12336–12346. 98 indexed citations
13.
Lei, Xiujuan, Cheng Bian, & Yi Pan. (2021). Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure. Journal of Computer Science and Technology. 36(2). 288–298. 11 indexed citations
14.
Ning, Munan, Donghuan Lu, Dong Wei, et al.. (2021). Multi-Anchor Active Domain Adaptation for Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9092–9102. 31 indexed citations
15.
Bian, Cheng, Jiexiang Wang, Meng Li, et al.. (2020). Uncertainty-aware domain alignment for anatomical structure segmentation. Medical Image Analysis. 64. 101732–101732. 43 indexed citations
16.
Lei, Baiying, Shan Huang, Hang Li, et al.. (2020). Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Analysis. 64. 101753–101753. 51 indexed citations
17.
18.
Yang, Xin, Lequan Yu, Shengli Li, et al.. (2018). Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Transactions on Medical Imaging. 38(1). 180–193. 79 indexed citations
19.
Lei, Baiying, Shan Huang, Ran Li, et al.. (2018). Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network. Neurocomputing. 321. 178–186. 58 indexed citations
20.
Bian, Cheng, et al.. (2010). H-infinity CONTROL FOR DISCRETE-TIME SINGULARLY PERTURBED SYSTEMS WITH DISTRIBUTIONAL PROPERTIES. UWA Profiles and Research Repository (UWA). 6. 1781–1791. 5 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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