Shen Ge

1.9k total citations
26 papers, 974 citations indexed

About

Shen Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shen Ge has authored 26 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Shen Ge's work include Topic Modeling (11 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Shen Ge is often cited by papers focused on Topic Modeling (11 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Shen Ge collaborates with scholars based in China, Hong Kong and United States. Shen Ge's co-authors include Xian Wu, Fenglin Liu, Yuexian Zou, Wei Fan, Nikos Mamoulis, Shuxin Yang, S. Kevin Zhou, Li Xiao, Panagiotis Bouros and Yan Qiao and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Electronics Letters and Medical Image Analysis.

In The Last Decade

Shen Ge

26 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shen Ge China 15 673 374 192 170 153 26 974
Henry R. Ehrenberg United States 5 499 0.7× 98 0.3× 47 0.2× 43 0.3× 28 0.2× 7 670
Hwan-Seung Yong South Korea 11 217 0.3× 136 0.4× 46 0.2× 59 0.3× 84 0.5× 33 596
Mohammed Javed India 14 266 0.4× 563 1.5× 176 0.9× 94 0.6× 251 1.6× 53 945
Ahmed Mohammed Alghamdi Saudi Arabia 13 317 0.5× 202 0.5× 51 0.3× 188 1.1× 117 0.8× 77 719
Souad Larabi-Marie-Sainte Saudi Arabia 12 451 0.7× 123 0.3× 26 0.1× 58 0.3× 85 0.6× 38 797
Pinki Roy India 17 412 0.6× 115 0.3× 51 0.3× 114 0.7× 192 1.3× 43 756
Ankur Taly United States 14 430 0.6× 56 0.1× 161 0.8× 68 0.4× 178 1.2× 20 810
Baogang Wei China 16 363 0.5× 200 0.5× 38 0.2× 66 0.4× 12 0.1× 74 754
Dalal Bardou China 10 384 0.6× 200 0.5× 100 0.5× 53 0.3× 271 1.8× 26 704

Countries citing papers authored by Shen Ge

Since Specialization
Citations

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

Fields of papers citing papers by Shen Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Ge

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

All Works

20 of 20 papers shown
1.
Chu, Hong-Yu, Zeming Huang, Shen Ge, Yuliang Dong, & Chong‐Chen Wang. (2025). Microcystin-LR detection and removal using MOF-based functional materials. Environmental Science Nano. 12(6). 2901–2910. 11 indexed citations
2.
Yang, Shuxin, Xian Wu, Shen Ge, et al.. (2023). Radiology report generation with a learned knowledge base and multi-modal alignment. Medical Image Analysis. 86. 102798–102798. 78 indexed citations
3.
Wang, Yejing, Shen Ge, Xiangyu Zhao, et al.. (2023). Doctor Specific Tag Recommendation for Online Medical Record Management. 5150–5161. 8 indexed citations
4.
You, Chenyu, et al.. (2022). End-to-end Spoken Conversational Question Answering: Task, Dataset and Model. 1219–1232. 21 indexed citations
5.
Yang, Shuxin, Xian Wu, Shen Ge, S. Kevin Zhou, & Li Xiao. (2022). Knowledge matters: Chest radiology report generation with general and specific knowledge. Medical Image Analysis. 80. 102510–102510. 100 indexed citations
6.
Liu, Fenglin, Changchang Yin, Xian Wu, et al.. (2021). Contrastive Attention for Automatic Chest X-ray Report Generation. 269–280. 84 indexed citations
7.
Huang, Zhiqi, Fenglin Liu, Xian Wu, et al.. (2021). Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13098–13106. 14 indexed citations
8.
Liu, Fenglin, Xian Wu, Shen Ge, et al.. (2021). DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. ACM Transactions on Knowledge Discovery from Data. 16(1). 1–19. 5 indexed citations
9.
Liu, Fenglin, Xian Wu, Shen Ge, Wei Fan, & Yuexian Zou. (2021). Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation. 13748–13757. 181 indexed citations
10.
Liu, Fenglin, et al.. (2021). O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. 281–292. 17 indexed citations
11.
Liu, Fenglin, Xuancheng Ren, Xian Wu, et al.. (2020). Prophet Attention: Predicting Attention with Future Attention. Neural Information Processing Systems. 33. 1865–1876. 17 indexed citations
12.
Liu, Fenglin, Xian Wu, Shen Ge, et al.. (2020). Bridging the Gap between Vision and Language Domains for Improved Image Captioning. 11 indexed citations
13.
Wu, Zhe, Shuang Zhao, Xian Wu, et al.. (2020). PSENet: Psoriasis Severity Evaluation Network. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 800–807. 19 indexed citations
14.
Shen, Sheng, Yaliang Li, Nan Du, et al.. (2020). On the Generation of Medical Question-Answer Pairs. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8822–8829. 13 indexed citations
15.
Bouros, Panagiotis, Nikos Mamoulis, Shen Ge, & Manolis Terrovitis. (2015). Set containment join revisited. Knowledge and Information Systems. 49(1). 375–402. 16 indexed citations
16.
Ge, Shen, Leong Hou U, Nikos Mamoulis, & David W. Cheung. (2013). Dominance relationship analysis with budget constraints. Knowledge and Information Systems. 42(2). 409–440. 11 indexed citations
17.
Ge, Shen, Leong Hou U, Nikos Mamoulis, & David W. Cheung. (2012). Efficient All Top-k Computation - A Unified Solution for All Top-k, Reverse Top-k and Top-m Influential Queries. IEEE Transactions on Knowledge and Data Engineering. 25(5). 1015–1027. 24 indexed citations
18.
Bouros, Panagiotis, Shen Ge, & Nikos Mamoulis. (2012). Spatio-textual similarity joins. Proceedings of the VLDB Endowment. 6(1). 1–12. 83 indexed citations
19.
Ge, Shen, Yang Gao, & Ruili Wang. (2007). Least significant bit steganography detection with machine learning techniques. 24–32. 7 indexed citations
20.
Ge, Shen. (1990). Treatment of alopecia areata with acupuncture.. PubMed. 10(3). 199–200. 4 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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