Li Jin

675 total citations
58 papers, 356 citations indexed

About

Li Jin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li Jin has authored 58 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 10 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li Jin's work include Topic Modeling (26 papers), Natural Language Processing Techniques (10 papers) and Advanced Graph Neural Networks (9 papers). Li Jin is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (10 papers) and Advanced Graph Neural Networks (9 papers). Li Jin collaborates with scholars based in China, United States and Hong Kong. Li Jin's co-authors include Zequn Zhang, Xian Sun, Guangluan Xu, Zhi Guo, Qing Liu, Xingyu Fu, Jiuniu Wang, Xinlong Li, Jingyuan Zhang and Shuchao Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nuclear Physics B and IEEE Access.

In The Last Decade

Li Jin

47 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Jin China 10 284 61 30 28 25 58 356
Haoruo Peng United States 12 386 1.4× 49 0.8× 62 2.1× 15 0.5× 33 1.3× 21 471
Yaqiong Qiao China 9 140 0.5× 69 1.1× 30 1.0× 20 0.7× 18 0.7× 33 246
Shi Zhi United States 8 255 0.9× 68 1.1× 20 0.7× 43 1.5× 60 2.4× 10 354
Yushun Dong United States 12 349 1.2× 94 1.5× 57 1.9× 28 1.0× 22 0.9× 25 448
Chen Gao China 11 166 0.6× 114 1.9× 27 0.9× 13 0.5× 23 0.9× 20 249
Anastasia Shimorina France 6 396 1.4× 50 0.8× 67 2.2× 16 0.6× 27 1.1× 11 478
Weiqiang Jin China 9 221 0.8× 44 0.7× 50 1.7× 29 1.0× 18 0.7× 25 336
Biao Zhao China 8 205 0.7× 42 0.7× 46 1.5× 28 1.0× 18 0.7× 29 316
Matthias Nickles Germany 10 225 0.8× 66 1.1× 15 0.5× 35 1.3× 30 1.2× 34 282

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Li Jin. A scholar is included among the top collaborators of Li 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 Li Jin. Li Jin 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.
Zeng, Xinyi, et al.. (2024). RAIN: Reconstructed-aware in-context enhancement with graph denoising for session-based recommendation. Neural Networks. 184. 107056–107056. 1 indexed citations
3.
Xiao, Feipeng, et al.. (2024). Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate: A focused study of Ningxia, China. International Journal of Transportation Science and Technology. 18. 371–386. 1 indexed citations
4.
Zeng, Xinyi, Zequn Zhang, Shuchao Li, et al.. (2024). Graph-enhanced context aware framework for session-based recommendation. Neurocomputing. 576. 127267–127267. 3 indexed citations
5.
Liu, Nayu, Yong Yang, Jianhua Tao, et al.. (2024). Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage Training Method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10697–10714. 3 indexed citations
6.
Fu, Kun, et al.. (2024). MERGE: A Modal Equilibrium Relational Graph Framework for Multi-Modal Knowledge Graph Completion. Sensors. 24(23). 7605–7605. 1 indexed citations
7.
Jin, Li, et al.. (2024). Relation-Aware Multi-Pass Comparison Deconfounded Network for Change Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13349–13363.
8.
Liu, Jin‐Tao, Zequn Zhang, Zhi Guo, et al.. (2023). Emotion-cause pair extraction with bidirectional multi-label sequence tagging. Applied Intelligence. 53(24). 30400–30415. 4 indexed citations
9.
Jin, Li, et al.. (2023). More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(5). 1–21. 4 indexed citations
10.
Li, Dandan, Z. J. Guo, Qing Liu, et al.. (2023). CLICK: Integrating Causal Inference and Commonsense Knowledge Incorporation for Counterfactual Story Generation. Electronics. 12(19). 4173–4173. 3 indexed citations
11.
Zhang, Yanan, et al.. (2022). Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base. Computational Intelligence and Neuroscience. 2022. 1–13. 1 indexed citations
12.
Sun, Xian, et al.. (2022). Implicit Event Argument Extraction With Argument-Argument Relational Knowledge. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8865–8879. 9 indexed citations
13.
Zhang, Jingyuan, Zequn Zhang, Zhi Guo, et al.. (2021). Enhancement of Target‐Oriented Opinion Words Extraction with Multiview‐Trained Machine Reading Comprehension Model. Computational Intelligence and Neuroscience. 2021(1). 6645871–6645871. 2 indexed citations
14.
15.
Li, Xinlong, Xingyu Fu, Guangluan Xu, et al.. (2020). Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis. IEEE Access. 8. 46868–46876. 74 indexed citations
16.
Jin, Li, et al.. (2020). Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection. IEEE Access. 8. 171435–171446. 11 indexed citations
17.
Zhang, Yanan, Guangluan Xu, Xingyu Fu, Li Jin, & Tinglei Huang. (2020). Adversarial Training Improved Multi-Path Multi-Scale Relation Detector for Knowledge Base Question Answering. IEEE Access. 8. 63310–63319. 1 indexed citations
18.
Li, Xinlong, Xingyu Fu, Guangluan Xu, et al.. (2020). Corrections to “Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis”. IEEE Access. 8. 128042–128042. 2 indexed citations
19.
Jin, Li, Keith Decker, & Carl J. Schmidt. (2009). BioPlanner: A Plan Adaptation Approach for the Discovery of Biological Pathways across Species. Innovative Applications of Artificial Intelligence. 3 indexed citations
20.
Jin, Li & Keith Decker. (2006). KDMAS: a multi-agent system for knowledge discovery via planning. National Conference on Artificial Intelligence. 1877–1878.

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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