Deyi Ji

621 total citations
20 papers, 324 citations indexed

About

Deyi Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Deyi Ji has authored 20 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Deyi Ji's work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Deyi Ji is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Deyi Ji collaborates with scholars based in China, Singapore and United States. Deyi Ji's co-authors include Weihao Gan, Lanyun Zhu, Junjie Yan, Hongtao Lu, Haoran Wang, Wei Wu, Shiping Zhu, Jieping Ye, Xian‐Sheng Hua and Feng Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Deyi Ji

19 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deyi Ji China	9	217	97	49	23	19	20	324
Lluís Castrejón Canada	4	294 1.4×	110 1.1×	55 1.1×	29 1.3×	65 3.4×	4	408
Haoran Wang China	9	187 0.9×	80 0.8×	48 1.0×	9 0.4×	16 0.8×	25	293
Lanyun Zhu China	9	299 1.4×	113 1.2×	45 0.9×	14 0.6×	34 1.8×	23	449
Shuzhou Sun China	7	240 1.1×	82 0.8×	69 1.4×	9 0.4×	23 1.2×	9	359
Zhengwu Yuan China	9	109 0.5×	87 0.9×	102 2.1×	17 0.7×	20 1.1×	30	283
Pavan Kumar Anasosalu Vasu United States	5	129 0.6×	54 0.6×	19 0.4×	10 0.4×	12 0.6×	6	250
Jia Xue United States	6	220 1.0×	56 0.6×	31 0.6×	13 0.6×	17 0.9×	12	326
Waqas Sultani Pakistan	12	218 1.0×	89 0.9×	48 1.0×	4 0.2×	31 1.6×	24	332
Mahmoud Emam Egypt	13	234 1.1×	46 0.5×	134 2.7×	26 1.1×	17 0.9×	34	374
Huayao Liu Germany	3	231 1.1×	48 0.5×	71 1.4×	6 0.3×	20 1.1×	3	339

Countries citing papers authored by Deyi Ji

Since Specialization

Citations

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

Fields of papers citing papers by Deyi Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyi Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Deyi Ji. A scholar is included among the top collaborators of Deyi Ji 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 Deyi Ji. Deyi Ji 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

Ji, Deyi, Yuekui Yang, Haiyang Wu, et al.. (2025). RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning. 22–31. 1 indexed citations

Ji, Deyi, Liqun Liu, Peng Shu, et al.. (2025). RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning. 1–10. 1 indexed citations

Zhu, Qi, Jiangwei Lao, Deyi Ji, et al.. (2025). SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling. 14733–14744. 2 indexed citations

Zhu, Lanyun, Tianrun Chen, Xuanyi Liu, et al.. (2025). POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. 30231–30240. 1 indexed citations

Ji, Deyi, Feng Zhao, Hongtao Lu, Feng Wu, & Jieping Ye. (2025). Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3639–3656. 2 indexed citations

Zhu, Lanyun, Tianrun Chen, Deyi Ji, Jieping Ye, & Jun Liu. (2025). Not Every Patch is Needed: Toward a More Efficient and Effective Backbone for Video-Based Person Re-Identification. IEEE Transactions on Image Processing. 34. 785–800. 3 indexed citations

Zhu, Lanyun, et al.. (2025). IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. 1615–1624. 1 indexed citations

Zhu, Lanyun, et al.. (2025). LLaFS++: Few-Shot Image Segmentation With Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7715–7732.

Chen, Tianrun, Chaotao Ding, Lanyun Zhu, et al.. (2024). xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts. 1–8. 6 indexed citations

10.

Zhu, Lanyun, Tianrun Chen, Deyi Ji, Jieping Ye, & Jun Liu. (2024). LLaFS: When Large Language Models Meet Few-Shot Segmentation. 3065–3075. 22 indexed citations

11.

Ji, Deyi, et al.. (2024). Changenet: Multi-Temporal Asymmetric Change Detection Dataset. 2725–2729. 7 indexed citations

12.

Ji, Deyi, Feng Zhao, & Hongtao Lu. (2023). Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. 920–928. 11 indexed citations

13.

Ji, Deyi, et al.. (2023). Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. 23621–23630. 20 indexed citations

14.

Ji, Deyi, et al.. (2022). Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16855–16864. 51 indexed citations

15.

Wang, Haoran, Licheng Jiao, Fang Liu, et al.. (2021). IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection. IEEE Transactions on Image Processing. 30. 6583–6593. 30 indexed citations

16.

Ji, Deyi, Haoran Wang, Hanzhe Hu, et al.. (2021). Context-Aware Graph Convolution Network for Target Re-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1646–1654. 24 indexed citations

17.

Wang, Haoran, Licheng Jiao, Fang Liu, et al.. (2021). Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 2951–2964. 11 indexed citations

18.

Zhu, Lanyun, Deyi Ji, Shiping Zhu, et al.. (2021). Learning Statistical Texture for Semantic Segmentation. 12532–12541. 96 indexed citations

19.

Ji, Deyi, Hongtao Lu, & Tongzhen Zhang. (2019). End to end multi-scale convolutional neural network for crowd counting. 53–53. 7 indexed citations

20.

Ji, Deyi, et al.. (2018). Challenges on Large Scale Surveillance Video Analysis. 69–697. 28 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.

Explore authors with similar magnitude of impact