Qin Jin

5.0k total citations
125 papers, 2.4k citations indexed

About

Qin Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Qin Jin has authored 125 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 35 papers in Signal Processing. Recurrent topics in Qin Jin's work include Multimodal Machine Learning Applications (45 papers), Video Analysis and Summarization (27 papers) and Speech and Audio Processing (26 papers). Qin Jin is often cited by papers focused on Multimodal Machine Learning Applications (45 papers), Video Analysis and Summarization (27 papers) and Speech and Audio Processing (26 papers). Qin Jin collaborates with scholars based in China, United States and France. Qin Jin's co-authors include Shizhe Chen, Jinming Zhao, Qi Wu, Yida Zhao, Tanja Schultz, Ruichen Li, Peng Wang, Jingwen Hu, Alexander G. Hauptmann and Jia Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.

In The Last Decade

Qin Jin

122 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qin Jin China	25	1.3k	1.1k	629	625	90	125	2.4k
George Trigeorgis United Kingdom	13	970 0.8×	624 0.5×	769 1.2×	747 1.2×	158 1.8×	17	1.9k
Zheng Lian China	22	364 0.3×	749 0.7×	390 0.6×	862 1.4×	107 1.2×	87	1.5k
Samira Ebrahimi Kahou Canada	10	1.1k 0.9×	683 0.6×	108 0.2×	348 0.6×	80 0.9×	22	1.6k
Quanzeng You United States	21	2.0k 1.5×	1.7k 1.5×	136 0.2×	196 0.3×	76 0.8×	42	3.1k
Arnab Ghoshal United States	20	348 0.3×	2.2k 1.9×	1.7k 2.7×	311 0.5×	144 1.6×	54	2.9k
AmirAli Bagher Zadeh Singapore	6	526 0.4×	1.4k 1.2×	357 0.6×	667 1.1×	70 0.8×	6	1.9k
Xiuzhuang Zhou China	21	1.7k 1.3×	291 0.3×	500 0.8×	282 0.5×	86 1.0×	56	2.0k
Jun Deng Germany	20	346 0.3×	806 0.7×	724 1.2×	770 1.2×	105 1.2×	44	1.5k
Shizhe Chen China	19	1.1k 0.9×	631 0.6×	249 0.4×	375 0.6×	62 0.7×	66	1.6k
Yasuo Ariki Japan	23	673 0.5×	1.5k 1.3×	1.4k 2.1×	192 0.3×	68 0.8×	233	2.3k

Countries citing papers authored by Qin Jin

Since Specialization

Citations

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

Fields of papers citing papers by Qin Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Jin

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

All Works

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20 of 20 papers shown

Wang, Pei, et al.. (2025). Weighted Bayesian uncertainty quantification for the high explosive reactants using limited data. AIP Advances. 15(2).

Jin, Qin, et al.. (2025). Exploring Interpretability in Deep Learning for Affective Computing: A Comprehensive Review. ACM Transactions on Multimedia Computing Communications and Applications. 21(7). 1–28. 2 indexed citations

Zhang, Liang, Anwen Hu, Haiyang Xu, et al.. (2024). TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging. 1882–1898. 6 indexed citations

Yao, Linli, et al.. (2024). Edit As You Wish: Video Caption Editing with Multi-grained User Control. 1924–1933. 1 indexed citations

Zhang, Xinjie, et al.. (2024). ESCoT: Towards Interpretable Emotional Support Dialogue Systems. 13395–13412. 1 indexed citations

Xiong, Pengfei, et al.. (2023). Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1781–1789. 5 indexed citations

Hu, Anwen, et al.. (2023). Accommodating Audio Modality in CLIP for Multimodal Processing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9641–9649. 6 indexed citations

Hu, Jingwen, et al.. (2021). MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation. 5666–5675. 155 indexed citations

Zhao, Jinming, Ruichen Li, & Qin Jin. (2021). Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities. 2608–2618. 103 indexed citations

10.

Chen, Shizhe, Yida Zhao, Qin Jin, & Qi Wu. (2020). Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning. 10635–10644. 213 indexed citations

11.

Wang, Jin-Liang, Jingfei Wang, Qin Jin, Wenbo Wang, & Weiwei Yang. (2020). Power Marketing Ubiquitous Learning Mode Based on QR Code of the Internet of Things. International Conference on Artificial Intelligence. 1 indexed citations

12.

Wang, Shuai, et al.. (2019). RUC at MediaEval 2019: Video Memorability Prediction Based on Visual Textual and Concept Related Features.. MediaEval. 2 indexed citations

13.

Chen, Jia, Shizhe Chen, Qin Jin, et al.. (2018). Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video.. TRECVID. 2 indexed citations

14.

Wang, Shuai, Wenxuan Wang, Jinming Zhao, et al.. (2017). Emotion recognition with multimodal features and temporal models. 598–602. 11 indexed citations

15.

Chen, Shizhe, et al.. (2017). RUC at MediaEval 2017: Predicting Media Interestingness Task.. MediaEval. 4 indexed citations

16.

Chen, Shizhe & Qin Jin. (2016). RUC at MediaEval 2016 Emotional Impact of Movies Task: Fusion of Multimodal Features.. MediaEval. 11 indexed citations

17.

Chen, Shizhe, et al.. (2016). RUC at MediaEval 2016: Predicting Media Interestingness Task.. MediaEval. 2 indexed citations

18.

Jin, Qin, et al.. (2015). RUCMM at MediaEval 2015 Affective Impact of Movies Task: Fusion of Audio and Visual Cues. MediaEval. 7 indexed citations

19.

Li, Xirong, Qin Jin, Junwei Liang, et al.. (2015). RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation. CLEF (Working Notes). 2 indexed citations

20.

Li, Xirong, Xixi He, Gang Yang, Qin Jin, & Jieping Xu. (2013). Renmin University of China at ImageCLEF 2013 Scalable Concept Image Annotation. CLEF (Working Notes). 380–385. 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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