Bin Sheng

8.6k total citations · 4 hit papers
204 papers, 4.4k citations indexed

About

Bin Sheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Bin Sheng has authored 204 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 29 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Bin Sheng's work include Computer Graphics and Visualization Techniques (27 papers), Advanced Vision and Imaging (27 papers) and Image Enhancement Techniques (24 papers). Bin Sheng is often cited by papers focused on Computer Graphics and Visualization Techniques (27 papers), Advanced Vision and Imaging (27 papers) and Image Enhancement Techniques (24 papers). Bin Sheng collaborates with scholars based in China, Hong Kong and Macao. Bin Sheng's co-authors include Ping Li, Dagan Feng, C. L. Philip Chen, Zezhou Cheng, Qingxiong Yang, Huating Li, Jinman Kim, Po Yang, Xiao Lin and Shuzhou Sun and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bin Sheng

188 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Colorization

2015 339 citations Bin Sheng et al. profile →
A deep learning system for detecting diabetic retinopathy across the disease spectrum

2021 319 citations Ling Dai, Liang Wu et al. Nature Communications profile →
EAPT: Efficient Attention Pyramid Transformer for Image Processing

2021 285 citations Xiao Lin, Shuzhou Sun et al. profile →
Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

2023 202 citations Zhi Wei Lim, Krithi Pushpanathan et al. EBioMedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Sheng China	34	2.3k	784	769	466	317	204	4.4k
Jianqiang Li China	35	797 0.4×	1.2k 1.5×	1.3k 1.6×	132 0.3×	520 1.6×	255	4.4k
Kang Li China	37	1.6k 0.7×	1.1k 1.4×	1.3k 1.7×	284 0.6×	216 0.7×	381	5.8k
D. Jude Hemanth India	34	1.5k 0.7×	1.0k 1.3×	1.6k 2.1×	213 0.5×	65 0.2×	219	5.0k
Mohammed Ghazal United Arab Emirates	28	685 0.3×	1.3k 1.7×	570 0.7×	109 0.2×	339 1.1×	318	3.3k
Usman Tariq Saudi Arabia	41	1.4k 0.6×	879 1.1×	1.9k 2.4×	158 0.3×	64 0.2×	247	5.4k
Amira S. Ashour Egypt	36	1.1k 0.5×	515 0.7×	1.1k 1.4×	250 0.5×	43 0.1×	165	4.1k
Petia Radeva Spain	37	1.9k 0.8×	992 1.3×	1.1k 1.5×	347 0.7×	37 0.1×	270	4.7k
Rikiya Yamashita United States	18	638 0.3×	1.6k 2.0×	1.1k 1.4×	121 0.3×	52 0.2×	49	4.1k
Musaed Alhussein Saudi Arabia	31	587 0.3×	405 0.5×	749 1.0×	108 0.2×	129 0.4×	146	3.2k

Countries citing papers authored by Bin Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Bin Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Sheng. A scholar is included among the top collaborators of Bin Sheng 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 Bin Sheng. Bin Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sabanayagam, Charumathi, Riswana Banu, Cynthia Ciwei Lim, et al.. (2025). Artificial intelligence in chronic kidney disease management: a scoping review. Theranostics. 15(10). 4566–4578. 6 indexed citations

Chen, Zhihua, et al.. (2025). Gradient amplification for gradient matching based dataset distillation. Neural Networks. 191. 107819–107819.

Qamri, Ghulam Muhammad, et al.. (2024). Unveiling Sustainable Mineral Resources Extraction, foreign direct Investment, Technology Advancement nexus: Evidence from BRICS countries. Resources Policy. 100. 105428–105428. 12 indexed citations

Li, Ping, et al.. (2024). GAN‐Based Multi‐Decomposition Photo Cartoonization. Computer Animation and Virtual Worlds. 35(3). 12 indexed citations

Ji, Hongwei, Charumathi Sabanayagam, Kunihiro Matsushita, et al.. (2024). Sex Differences in Cardiovascular-Kidney-Metabolic Syndrome: 30-Year US Trends and Mortality Risks—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 45(1). 157–161. 14 indexed citations

Chen, Zhihua, et al.. (2024). MA-MFCNet: Mixed Attention-Based Multi-Scale Feature Calibration Network for Image Dehazing. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3408–3421. 8 indexed citations

Zhong, Xian, et al.. (2024). Action-aware Linguistic Skeleton Optimization Network for Non-autoregressive Video Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–24. 6 indexed citations

Li, Huating, Xiao Lin, Ping Li, et al.. (2023). SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. The Visual Computer. 39(8). 3675–3689. 35 indexed citations

Liu, Xiaohong, et al.. (2023). TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution. The Visual Computer. 39(8). 3647–3659. 51 indexed citations

10.

Lim, Zhi Wei, Krithi Pushpanathan, Samantha Min Er Yew, et al.. (2023). Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard. EBioMedicine. 95. 104770–104770. 202 indexed citations breakdown →

11.

Chen, Zhihua, et al.. (2023). Global-and-local aware network for low-light image enhancement. Engineering Applications of Artificial Intelligence. 126. 106969–106969. 8 indexed citations

12.

Sun, Shuzhou, Xiao Lin, Ping Li, et al.. (2022). Unsupervised Fusion Feature Matching for Data Bias in Uncertainty Active Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5749–5763. 6 indexed citations

13.

Liu, Ruhan, et al.. (2022). Mixed-weight neural bagging for detecting m6A modifications in SARS-CoV-2 RNA sequencing. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 10 indexed citations

14.

Hu, Xinrong, Yangjun Ou, Saishang Zhong, et al.. (2022). Unsupervised Embroidery Generation Using Embroidery Channel Attention. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 1 indexed citations

15.

Liu, Ruhan, Chenyang Li, Huajun Xu, et al.. (2022). Fusion of Whole Night Features and Desaturation Segments Combined with Feature Extraction for Event-Level Screening of Sleep-Disordered Breathing. Nature and Science of Sleep. Volume 14. 927–940. 3 indexed citations

16.

Cheema, Muhammad Nadeem, Anam Nazir, Po Yang, et al.. (2021). Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Transactions on Industrial Informatics. 17(12). 7991–8002. 28 indexed citations

17.

Dai, Ling, Liang Wu, Huating Li, et al.. (2021). A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nature Communications. 12(1). 3242–3242. 319 indexed citations breakdown →

18.

Li, Jiajia, Jie Chen, Bin Sheng, et al.. (2021). Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Transactions on Industrial Informatics. 18(1). 163–173. 163 indexed citations

19.

Masood, Saleha, Ruogu Fang, Ping Li, et al.. (2019). Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning. Scientific Reports. 9(1). 3058–3058. 77 indexed citations

20.

Lai, Niansheng, et al.. (2017). Serum microRNAs are non-invasive biomarkers for the presence and progression of subarachnoid haemorrhage. Bioscience Reports. 37(1). 34 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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