Si Li

915 total citations
66 papers, 498 citations indexed

About

Si Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Si Li has authored 66 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Si Li's work include Topic Modeling (26 papers), Natural Language Processing Techniques (22 papers) and Image Enhancement Techniques (10 papers). Si Li is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (22 papers) and Image Enhancement Techniques (10 papers). Si Li collaborates with scholars based in China, United States and Australia. Si Li's co-authors include Sheng Gao, Boxin Shi, Weiran Xu, Chenliang Li, Guang Chen, Zhiqing Lin, Weijie Bian, Yang Zhao, Zhaopeng Cui and Marc Pollefeys and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Si Li

59 papers receiving 471 citations

Peers

Si Li
Si Li
Citations per year, relative to Si Li Si Li (= 1×) peers Christoph Schulz

Countries citing papers authored by Si Li

Since Specialization
Citations

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

Fields of papers citing papers by Si Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Li

This figure shows the co-authorship network connecting the top 25 collaborators of Si Li. A scholar is included among the top collaborators of Si Li 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 Si Li. Si Li 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.
Zhang, Peixuan, et al.. (2025). Affective Image Editing: Shaping Emotional Factors via Text Descriptions. International Journal of Computer Vision. 134(1).
2.
Luo, Min, et al.. (2025). Bi-directional dual contrastive adapting method for alleviating hallucination in visual question answering. Expert Systems with Applications. 291. 128392–128392.
3.
Zhao, Gang, et al.. (2024). Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization. 3248–3260. 1 indexed citations
4.
Fan, Kuang–Chao, Chao Yu, Shidong Zhou, et al.. (2024). Advances in pipeline wax inhibition technology based on material properties and surface modifications. Chinese Science Bulletin (Chinese Version). 69(36). 5259–5270. 1 indexed citations
6.
Zhang, Peixuan, et al.. (2023). Affective Image Filter: Reflecting Emotions from Text to Images. 10776–10785. 6 indexed citations
7.
Chang, Zheng, et al.. (2023). L-CoIns: Language-based Colorization With Instance Awareness. 19221–19230. 14 indexed citations
8.
Shi, Jiaxin, Shulin Cao, Si Li, et al.. (2022). Dependency Parsing via Sequence Generation. 7339–7353.
9.
Zhao, Gang, et al.. (2022). Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. 6345–6350. 14 indexed citations
10.
Li, Si, et al.. (2022). Reflection Removal With NIR and RGB Image Feature Fusion. IEEE Transactions on Multimedia. 25. 7101–7112. 9 indexed citations
11.
Han, Chunhui, Hao Sun, Si Li, et al.. (2022). AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search. Proceedings of the 30th ACM International Conference on Multimedia. 444–452. 1 indexed citations
12.
Xu, Jun, Si Li, Sheng Gao, et al.. (2021). A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. 1752–1763. 4 indexed citations
13.
Xu, Jun, Si Li, Sheng Gao, et al.. (2020). Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. 137–147. 4 indexed citations
14.
Cui, Zhaopeng, et al.. (2019). Reflection Separation using a Pair of Unpolarized and Polarized Images. Neural Information Processing Systems. 32. 14532–14542. 24 indexed citations
15.
Li, Si, et al.. (2017). BUPT-PRIS System for TAC 2017 Event Nugget Detection, Event Argument Linking and ADR Tracks.. Theory and applications of categories. 3 indexed citations
16.
Li, Si, et al.. (2017). Adaptive particle swarm optimization algorithm based on levy flights mechanism. 479–484. 8 indexed citations
17.
Tang, Siliang, Fei Wu, Si Li, et al.. (2015). Sketch the storyline with CHARCOAL: a non-parametric approach. International Conference on Artificial Intelligence. 3841–3848. 9 indexed citations
18.
Li, Si, et al.. (2010). PRIS at TREC 2010 Blog Track: Faceted Blog Distillation. Text REtrieval Conference. 2 indexed citations
19.
Li, Si, Huiji Gao, Fei Chen, et al.. (2009). A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track. Text REtrieval Conference. 3 indexed citations
20.
Li, Si, et al.. (2009). PRIS at TAC 2009: Experiments in KBP Track. Theory and applications of categories. 1 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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