Yeying Jin

641 total citations
12 papers, 175 citations indexed

About

Yeying Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yeying Jin has authored 12 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Yeying Jin's work include Image Enhancement Techniques (5 papers), Advanced Image Fusion Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Yeying Jin is often cited by papers focused on Image Enhancement Techniques (5 papers), Advanced Image Fusion Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Yeying Jin collaborates with scholars based in Singapore, China and Hong Kong. Yeying Jin's co-authors include Robby T. Tan, Aashish Sharma, Wending Yan, Beibei Lin, Robby T. Tan, Wenhan Yang, Zhizheng Zhang, Ruoyu Feng, Ruoteng Li and Bingchen Li and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Signal Processing Letters and Frontiers in Artificial Intelligence.

In The Last Decade

Yeying Jin

10 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yeying Jin Singapore	6	138	56	10	9	8	12	175
Ruoteng Li Singapore	4	229 1.7×	75 1.3×	10 1.0×	11 1.2×	8 1.0×	4	250
Meiguang Jin Switzerland	8	223 1.6×	85 1.5×	6 0.6×	8 0.9×	7 0.9×	14	242
Jinglei Shi China	7	201 1.5×	60 1.1×	10 1.0×	4 0.4×	14 1.8×	15	235
Zeyu Xiao China	9	198 1.4×	60 1.1×	8 0.8×	7 0.8×	13 1.6×	28	223
Jan Kotera Czechia	7	206 1.5×	110 2.0×	7 0.7×	5 0.6×	8 1.0×	15	227
Longcun Jin China	7	233 1.7×	114 2.0×	6 0.6×	6 0.7×	15 1.9×	16	264
Assaf Shocher Israel	4	246 1.8×	101 1.8×	34 3.4×	7 0.8×	8 1.0×	6	275
Eduardo Pérez-Pellitero Germany	8	196 1.4×	85 1.5×	9 0.9×	24 2.7×	8 1.0×	17	225
Byeong Hak Kim South Korea	6	62 0.4×	20 0.4×	5 0.5×	11 1.2×	5 0.6×	11	120
Levent Karacan Türkiye	5	233 1.7×	83 1.5×	22 2.2×	10 1.1×	3 0.4×	13	256

Countries citing papers authored by Yeying Jin

Since Specialization

Citations

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

Fields of papers citing papers by Yeying Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeying Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yeying Jin. A scholar is included among the top collaborators of Yeying 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 Yeying Jin. Yeying Jin 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:

12 of 12 papers shown

Chen, Haoyu, et al.. (2025). JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration. 22369–22380. 2 indexed citations

Zheng, Hong, Yukun Chen, Ammar Belatreche, et al.. (2025). SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–13.

Jin, Yeying, et al.. (2025). NightHaze: Nighttime Image Dehazing via Self-Prior Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 5209–5217. 3 indexed citations

Jin, Yeying, et al.. (2024). Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models. 3843–3860. 11 indexed citations

Lin, Beibei, Yeying Jin, Wending Yan, et al.. (2024). NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3378–3385. 4 indexed citations

Zhu, Haiyue, et al.. (2024). Expandable-RCNN: toward high-efficiency incremental few-shot object detection. Frontiers in Artificial Intelligence. 7. 1377337–1377337.

Li, Bingchen, et al.. (2024). SeD: Semantic-Aware Discriminator for Image Super-Resolution. arXiv (Cornell University). 25784–25795. 26 indexed citations

Zheng, Zhuoran, et al.. (2024). Polyp-DAM: Polyp Segmentation via Depth Anything Model. IEEE Signal Processing Letters. 31. 2925–2929. 3 indexed citations

Jin, Yeying, Wei Ye, Wenhan Yang, Yuan Yuan, & Robby T. Tan. (2024). DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2634–2642. 6 indexed citations

10.

Jin, Yeying, et al.. (2023). Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution. 2446–2457. 36 indexed citations

11.

Jin, Yeying, Ruoteng Li, Wenhan Yang, & Robby T. Tan. (2023). Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1069–1077. 14 indexed citations

12.

Jin, Yeying, Aashish Sharma, & Robby T. Tan. (2021). DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5007–5016. 70 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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