Sheng Jin

1.1k total citations · 1 hit paper
16 papers, 573 citations indexed

About

Sheng Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sheng Jin has authored 16 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Sheng Jin's work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (4 papers). Sheng Jin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (4 papers). Sheng Jin collaborates with scholars based in China, United States and Hong Kong. Sheng Jin's co-authors include Shijian Lu, Jiaxing Huang, Xian‐Sheng Hua, Zhihang Fu, Zhaowei Cheng, Zhihong Chen, Hongxun Yao, Xinyu Jin, Chao Chen and Xiaoshuai Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Sheng Jin

15 papers receiving 563 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.

Vision-Language Models for Vision Tasks: A Survey

2024 272 citations Jiaxing Huang, Sheng Jin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng Jin China	9	327	235	41	37	35	16	573
Renrui Zhang China	10	453 1.4×	312 1.3×	50 1.2×	50 1.4×	22 0.6×	18	732
Wenliang Zhao China	9	506 1.5×	285 1.2×	22 0.5×	34 0.9×	46 1.3×	18	685
Haohan Wang China	9	304 0.9×	321 1.4×	27 0.7×	31 0.8×	40 1.1×	32	637
Mattia Segù Switzerland	6	244 0.7×	302 1.3×	34 0.8×	35 0.9×	28 0.8×	12	544
Zhekai Du China	9	238 0.7×	315 1.3×	14 0.3×	57 1.5×	40 1.1×	25	515
Pengxu Wei China	13	354 1.1×	210 0.9×	21 0.5×	24 0.6×	21 0.6×	41	522
Aming Wu China	14	526 1.6×	427 1.8×	50 1.2×	61 1.6×	23 0.7×	32	694
Wei Zhai China	14	382 1.2×	335 1.4×	36 0.9×	44 1.2×	10 0.3×	42	604

Countries citing papers authored by Sheng Jin

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Jin

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

All Works

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16 of 16 papers shown

Zhang, Yingwei, et al.. (2025). Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7087–7095. 8 indexed citations

Huang, Jiaxing, et al.. (2024). Vision-Language Models for Vision Tasks: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5625–5644. 272 indexed citations breakdown →

Fu, Zhihang, Sheng Jin, Fan Zhou, et al.. (2024). ESOD: Efficient Small Object Detection on High-Resolution Images. IEEE Transactions on Image Processing. 34. 183–195. 16 indexed citations

Jin, Sheng & Xudong Wang. (2022). Rotating Electromagnetic Actuator with Magnetic Fluid. Journal of Physics Conference Series. 2183(1). 12006–12006.

Jin, Sheng, Hongxun Yao, Qin Zhou, et al.. (2021). Unsupervised Discrete Hashing With Affinity Similarity. IEEE Transactions on Image Processing. 30. 6130–6141. 10 indexed citations

Ding, Xiaojian, Fan Yang, Sheng Jin, & Jie Cao. (2021). An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm. Computers in Biology and Medicine. 134. 104505–104505. 15 indexed citations

Jin, Sheng, Qin Zhou, Hongxun Yao, Yao Liu, & Xian‐Sheng Hua. (2021). Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1717–1724. 4 indexed citations

Ding, Xiaojian, Sheng Jin, Ming Lei, & Fan Yang. (2021). A predictor-corrector affine scaling method to train optimized extreme learning machine. Journal of the Franklin Institute. 359(2). 1713–1731. 3 indexed citations

Jin, Sheng, Shangchen Zhou, Yao Liu, et al.. (2020). SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11157–11164. 23 indexed citations

10.

Jin, Sheng, Hongxun Yao, Xiaoshuai Sun, et al.. (2020). Deep Saliency Hashing for Fine-Grained Retrieval. IEEE Transactions on Image Processing. 29. 5336–5351. 49 indexed citations

11.

Chen, Chao, Zhihang Fu, Zhihong Chen, et al.. (2020). HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3422–3429. 133 indexed citations

12.

Jin, Sheng, Hongxun Yao, Xiaoshuai Sun, & Shangchen Zhou. (2019). Unsupervised semantic deep hashing. Neurocomputing. 351. 19–25. 21 indexed citations

13.

Jin, Sheng, et al.. (2018). Deep Saliency Hashing. arXiv (Cornell University). 5 indexed citations

14.

Zhang, Yixiong, et al.. (2017). A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars. Applied Sciences. 7(5). 500–500. 5 indexed citations

15.

Deng, Zhenmiao, et al.. (2015). Joint estimation of motion parameters using Newton's method. IEEE Transactions on Aerospace and Electronic Systems. 51(4). 3386–3398. 7 indexed citations

16.

Jin, Sheng, et al.. (2008). Wideband Measurement Technique Based on Dechirp Processing for Radar. Modern Radar. 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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