Guangnan Ye

1.4k total citations
26 papers, 876 citations indexed

About

Guangnan Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Guangnan Ye has authored 26 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Guangnan Ye's work include Video Analysis and Summarization (12 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Multimodal Machine Learning Applications (10 papers). Guangnan Ye is often cited by papers focused on Video Analysis and Summarization (12 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Multimodal Machine Learning Applications (10 papers). Guangnan Ye collaborates with scholars based in United States, China and Taiwan. Guangnan Ye's co-authors include Shih‐Fu Chang, Dong Liu, Yu–Gang Jiang, Alexander C. Loui, Daniel P. W. Ellis, I‐Hong Jhuo, Shih-Fu Chang, Dong Liu, Yitong Li and Hongliang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Machine Vision and Applications and National University of Singapore.

In The Last Decade

Guangnan Ye

24 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangnan Ye United States	14	788	292	85	42	33	26	876
Zinan Zeng Singapore	5	350 0.4×	268 0.9×	26 0.3×	78 1.9×	29 0.9×	6	461
Jidong Zhao China	9	312 0.4×	243 0.8×	19 0.2×	49 1.2×	31 0.9×	17	442
Hung‐Khoon Tan Hong Kong	14	587 0.7×	114 0.4×	77 0.9×	29 0.7×	8 0.2×	35	656
Mingliang Chen China	8	347 0.4×	216 0.7×	32 0.4×	48 1.1×	11 0.3×	18	556
Limei Zhang China	7	226 0.3×	118 0.4×	23 0.3×	75 1.8×	63 1.9×	17	366
Juhua Hu United States	9	249 0.3×	246 0.8×	27 0.3×	15 0.4×	10 0.3×	27	390
Nianhua Xie China	8	529 0.7×	119 0.4×	135 1.6×	43 1.0×	8 0.2×	10	625
Lai Tian China	10	346 0.4×	249 0.9×	20 0.2×	86 2.0×	50 1.5×	14	469
Chao Lan United States	11	148 0.2×	151 0.5×	72 0.8×	44 1.0×	24 0.7×	43	325
Basant Kumar India	14	601 0.8×	90 0.3×	66 0.8×	91 2.2×	8 0.2×	39	714

Countries citing papers authored by Guangnan Ye

Since Specialization

Citations

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

Fields of papers citing papers by Guangnan Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangnan Ye

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

Zhou, Liuzhi, Yu He, Kun Zhai, et al.. (2025). FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning. 1–5.

Zhou, Yi, Y.X. Ni, Yu He, et al.. (2025). Are LLMs Rational Investors? A Study on the Financial Bias in LLMs. 24139–24173.

Li, Jiale, et al.. (2024). VAEFL: Integrating variational autoencoders for privacy preservation and performance retention in federated learning. SHILAP Revista de lepidopterología. 3. 2024005–2024005. 1 indexed citations

Li, Long, et al.. (2024). CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9187–9195. 13 indexed citations

Zhou, Yuhang, Yu He, Siyu Tian, et al.. (2024). R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL. 13679–13692. 2 indexed citations

Ma, Xingjun, et al.. (2024). White-box Multimodal Jailbreaks Against Large Vision-Language Models. 6920–6928. 3 indexed citations

Zhang, Wei, Ziming Huang, Yada Zhu, et al.. (2021). On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation. 5399–5411. 7 indexed citations

Xu, Hongliang, et al.. (2015). Large Video Event Ontology Browsing, Search and Tagging (EventNet Demo). 803–804. 2 indexed citations

Luisier, Florian, W.D. Andrews, Guangnan Ye, et al.. (2014). BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems.. TRECVID. 6 indexed citations

10.

Chen, Jiawei, Yin Cui, Guangnan Ye, Dong Liu, & Shih‐Fu Chang. (2014). Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images. 1–8. 45 indexed citations

11.

Natarajan, Pradeep, Shuang Wu, Florian Luisier, et al.. (2013). BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. Journal of International Crisis and Risk Communication Research. 14 indexed citations

12.

Ye, Guangnan, Dong Liu, Jun Wang, & Shih‐Fu Chang. (2013). Large-Scale Video Hashing via Structure Learning. 2272–2279. 58 indexed citations

13.

Liu, Dong, Kuan-Ting Lai, Guangnan Ye, Ming-Syan Chen⋆, & Shih‐Fu Chang. (2013). Sample-Specific Late Fusion for Visual Category Recognition. 803–810. 46 indexed citations

14.

Natarajan, Pradeep, Prem Natarajan, Shuang Wu, et al.. (2012). BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems.. TRECVID. 13 indexed citations

15.

Ye, Guangnan, et al.. (2012). Joint audio-visual bi-modal codewords for video event detection. 1–8. 19 indexed citations

16.

Ji, Rongrong, et al.. (2012). Experiments of Image Retrieval Using Weak Attributes. Columbia Academic Commons (Columbia University). 1 indexed citations

17.

Natarajan, Pradeep, Prem Natarajan, Shuang Wu, et al.. (2011). BBN VISER TRECVID 2011 Multimedia Event Detection System. Journal of International Crisis and Risk Communication Research. 25 indexed citations

18.

Jiang, Yu–Gang, Guangnan Ye, Shih‐Fu Chang, Daniel P. W. Ellis, & Alexander C. Loui. (2011). Consumer video understanding. 1–8. 220 indexed citations

19.

Jiang, Yu–Gang, Guangnan Ye, Subhabrata Bhattacharya, et al.. (2010). Columbia-UCF TRECVID2010 multimedia event detection: Combining multiple modalities, contextual concepts, and temporal matching. Journal of International Crisis and Risk Communication Research. 71 indexed citations

20.

Hu, Zhipeng, Guangnan Ye, Guochen Jia, et al.. (2009). PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in surveillance Video.. TRECVID. 7 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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