Yushan Pan

403 total citations
65 papers, 214 citations indexed

About

Yushan Pan is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yushan Pan has authored 65 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Social Psychology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yushan Pan's work include Sentiment Analysis and Opinion Mining (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (9 papers). Yushan Pan is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (9 papers). Yushan Pan collaborates with scholars based in China, United Kingdom and Norway. Yushan Pan's co-authors include Hans Petter Hildre, Zuhe Li, E. M. Campbell, Jon Larsen, Weiping Ding, Weihua Liu, Yazhou Zhang, R. H. Price, Stephen M. Lane and Ying Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Yushan Pan

41 papers receiving 194 citations

Peers

Yushan Pan
Douglas A. Craig United States
Albrecht Rüdiger Germany
K. A. Marko United States
André P. Vieira Brazil
S.H. Levine United States
Jiali Yao China
Thomas Fechner Germany
Hiroyuki Kaneko Japan
Masashi Ito Japan
N. Agrawal India
Douglas A. Craig United States
Yushan Pan
Citations per year, relative to Yushan Pan Yushan Pan (= 1×) peers Douglas A. Craig

Countries citing papers authored by Yushan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yushan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yushan Pan. A scholar is included among the top collaborators of Yushan Pan 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 Yushan Pan. Yushan Pan 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.
2.
Xie, Ying, Jixiang Wang, Hao Wang, et al.. (2025). AGCTO: Attributed Graph Clustering With Transitive Order Convolutional Autoencoder. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(2). 1111–1122.
3.
He, Xianfei, et al.. (2025). Scale-Selectable Global Information and Discrepancy Learning Network for Multimodal Sentiment Analysis. IEEE Transactions on Affective Computing. 16(4). 3169–3182.
4.
Li, Zuhe, et al.. (2025). Representation distribution matching and dynamic routing interaction for multimodal sentiment analysis. Knowledge-Based Systems. 316. 113376–113376.
5.
Wang, Yong, et al.. (2025). Dual-stream autoencoder for channel-level multi-scale feature extraction in hyperspectral unmixing. Knowledge-Based Systems. 317. 113428–113428. 3 indexed citations
6.
He, Xianfei, et al.. (2025). An Active Learning-Based Alternative Reinforcement Contextual Information Fusion Model for Multimodal Sentiment Analysis. IEEE Transactions on Audio Speech and Language Processing. 33. 3537–3552.
7.
Zhu, Minghui, et al.. (2025). Text-guided deep correlation mining and self-learning feature fusion framework for multimodal sentiment analysis. Knowledge-Based Systems. 315. 113249–113249. 2 indexed citations
8.
He, Xianfei, Yanjie Fang, Zuhe Li, et al.. (2025). Text-guided multi-level interaction and multi-scale spatial-memory fusion for multimodal sentiment analysis. Neurocomputing. 626. 129532–129532. 8 indexed citations
9.
Li, Zuhe, et al.. (2024). Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis. Expert Systems with Applications. 252. 124236–124236. 12 indexed citations
10.
Li, Zuhe, et al.. (2024). Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining. Neurocomputing. 617. 128940–128940. 5 indexed citations
11.
Li, Yushi, George Baciu, Rong Chen, et al.. (2024). DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9195–9209.
12.
Gu, Yang, et al.. (2024). Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips. 858–863. 2 indexed citations
13.
Wang, Jia, et al.. (2024). C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. 341–349. 3 indexed citations
14.
Zhang, Haiyang, Wei Wang, Qiufeng Wang, et al.. (2024). Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs. ACM Transactions on Intelligent Systems and Technology.
15.
Zhang, Junkai, Xiaoyuan Ma, Dandan He, et al.. (2024). Colistin-niclosamide effervescent dry suspension combats colistin-resistant Salmonella in vitro and in vivo. Poultry Science. 103(12). 104492–104492.
16.
Li, Ziming, et al.. (2023). Exploring the Design Space for Hands-Free Robot Dog Interaction via Augmented Reality. 17. 288–295. 2 indexed citations
17.
Hildre, Hans Petter, et al.. (2021). Future Skills and Competence Needs. Liverpool John Moores University. 2 indexed citations
18.
Pan, Yushan, et al.. (2020). Making Sense of Maritime Simulators Use: A Multiple Case Study in Norway. Technology Knowledge and Learning. 26(3). 661–686. 7 indexed citations
19.
Pan, Yushan, et al.. (2015). Complex systems, cooperative work, and usability. Duo Research Archive (University of Oslo). 10(3). 100–112. 4 indexed citations
20.

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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