Ge-Peng Ji

7.4k total citations · 8 hit papers
28 papers, 3.5k citations indexed

About

Ge-Peng Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Ge-Peng Ji has authored 28 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Ge-Peng Ji's work include Visual Attention and Saliency Detection (18 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Enhancement Techniques (7 papers). Ge-Peng Ji is often cited by papers focused on Visual Attention and Saliency Detection (18 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Enhancement Techniques (7 papers). Ge-Peng Ji collaborates with scholars based in China, United Arab Emirates and Switzerland. Ge-Peng Ji's co-authors include Deng-Ping Fan, Ling Shao, Ming‐Ming Cheng, Jianbing Shen, Keren Fu, Geng Chen, Huazhu Fu, Qijun Zhao, Tao Zhou and Yi Zhou 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 Medical Imaging.

In The Last Decade

Ge-Peng Ji

25 papers receiving 3.4k citations

Hit Papers

5 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.

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

2020 796 citations Deng-Ping Fan, Tao Zhou et al. profile →
Camouflaged Object Detection

2020 468 citations Deng-Ping Fan, Ge-Peng Ji et al. profile →
Concealed Object Detection

2021 396 citations Deng-Ping Fan, Ge-Peng Ji et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Camouflaged Object Segmentation with Distraction Mining

2021 306 citations Haiyang Mei, Ge-Peng Ji et al. profile →
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection

2020 248 citations Keren Fu, Deng-Ping Fan et al. profile →
Siamese Network for RGB-D Salient Object Detection and Beyond

2021 178 citations Keren Fu, Deng-Ping Fan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Camouflaged Object Detection via Context-Aware Cross-Level Fusion

2022 141 citations Geng Chen, Sijie Liu et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
Deep Gradient Learning for Efficient Camouflaged Object Detection

2023 132 citations Ge-Peng Ji, Deng-Ping Fan et al. PubMed Central profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge-Peng Ji China	18	2.6k	724	565	334	266	28	3.5k
Lei Zhu China	27	2.1k 0.8×	461 0.6×	329 0.6×	505 1.5×	78 0.3×	103	2.7k
Pingping Zhang China	28	3.2k 1.2×	123 0.2×	394 0.7×	670 2.0×	229 0.9×	93	3.7k
Chenglizhao Chen China	28	1.8k 0.7×	74 0.1×	287 0.5×	398 1.2×	115 0.4×	92	2.1k
Manoranjan Paul Australia	28	1.8k 0.7×	867 1.2×	442 0.8×	156 0.5×	67 0.3×	214	3.0k
Xiaowei Hu China	8	2.0k 0.8×	79 0.1×	313 0.6×	412 1.2×	151 0.6×	10	2.5k
Chuan Yang China	12	2.4k 0.9×	62 0.1×	157 0.3×	283 0.8×	155 0.6×	45	2.9k
Yujun Shi China	12	1.1k 0.4×	155 0.2×	616 1.1×	249 0.7×	137 0.5×	20	2.0k
G. Csurka France	15	3.1k 1.2×	73 0.1×	751 1.3×	561 1.7×	531 2.0×	20	3.6k
Lihe Zhang China	32	6.1k 2.3×	121 0.2×	596 1.1×	736 2.2×	392 1.5×	105	7.0k

Countries citing papers authored by Ge-Peng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Ge-Peng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge-Peng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ge-Peng Ji. A scholar is included among the top collaborators of Ge-Peng 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 Ge-Peng Ji. Ge-Peng 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, Ge-Peng, Jingyi Liu, Nick Barnes, et al.. (2026). Frontiers in Intelligent Colonoscopy. 23(1). 70–114.

Ji, Ge-Peng, et al.. (2026). VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.

Ji, Ge-Peng, Keren Fu, Meijun Sun, et al.. (2024). Effectiveness assessment of recent large vision-language models. arXiv (Cornell University). 2(1). 13 indexed citations

Ji, Ge-Peng, Jing Zhang, Dylan Campbell, Huan Xiong, & Nick Barnes. (2024). Rethinking Polyp Segmentation From An Out-of-distribution Perspective. 21(4). 631–639. 6 indexed citations

Ji, Ge-Peng, Mingchen Zhuge, Dehong Gao, et al.. (2023). Masked Vision-language Transformer in Fashion. Repository for Publications and Research Data (ETH Zurich). 20(3). 421–434. 11 indexed citations

Ji, Ge-Peng, Deng-Ping Fan, Yu-Cheng Chou, et al.. (2023). Deep Gradient Learning for Efficient Camouflaged Object Detection. PubMed Central. 20(1). 92–108. 132 indexed citations breakdown →

Qin, Haotong, Ge-Peng Ji, Salman Khan, et al.. (2023). How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges. 20(5). 605–613. 13 indexed citations

Fan, Deng-Ping, Ge-Peng Ji, Peng Xu, et al.. (2023). Advances in deep concealed scene understanding. 1(1). 65 indexed citations

Ji, Ge-Peng, Deng-Ping Fan, Peng Xu, et al.. (2023). SAM struggles in concealed scenes — empirical study on “Segment Anything”. Science China Information Sciences. 66(12). 55 indexed citations

10.

Chen, Geng, Sijie Liu, Yujia Sun, et al.. (2022). Camouflaged Object Detection via Context-Aware Cross-Level Fusion. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6981–6993. 141 indexed citations breakdown →

11.

Ji, Ge-Peng, et al.. (2022). Full-duplex strategy for video object segmentation. Computational Visual Media. 9(1). 155–175. 13 indexed citations

12.

Fu, Keren, Deng-Ping Fan, Ge-Peng Ji, et al.. (2021). Siamese Network for RGB-D Salient Object Detection and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 5541–5559. 178 indexed citations breakdown →

13.

Ji, Ge-Peng, Lei Zhu, Mingchen Zhuge, & Keren Fu. (2021). Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network. Pattern Recognition. 123. 108414–108414. 133 indexed citations

14.

Ji, Ge-Peng, Keren Fu, Zhe Wu, et al.. (2021). Full-Duplex Strategy for Video Object Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4902–4913. 94 indexed citations

15.

Mei, Haiyang, Ge-Peng Ji, Ziqi Wei, et al.. (2021). Camouflaged Object Segmentation with Distraction Mining. 8768–8777. 306 indexed citations breakdown →

16.

Zhang, Wenbo, et al.. (2021). Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection. 731–740. 93 indexed citations

17.

Fan, Deng-Ping, Tengpeng Li, Lin Zheng, et al.. (2021). Re-thinking Co-Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 104 indexed citations

18.

Ji, Ge-Peng, Deng-Ping Fan, Tao Zhou, et al.. (2020). Automatic Polyp Segmentation via Parallel Reverse Attention Network.. MediaEval. 1 indexed citations

19.

Fan, Deng-Ping, Tao Zhou, Ge-Peng Ji, et al.. (2020). Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. arXiv (Cornell University). 22 indexed citations

20.

Fu, Keren, Deng-Ping Fan, Ge-Peng Ji, & Qijun Zhao. (2020). JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection. 3049–3059. 248 indexed citations breakdown →

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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