Jiawei Sheng

647 total citations
29 papers, 318 citations indexed

About

Jiawei Sheng is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jiawei Sheng has authored 29 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Jiawei Sheng's work include Topic Modeling (24 papers), Natural Language Processing Techniques (15 papers) and Advanced Graph Neural Networks (10 papers). Jiawei Sheng is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (15 papers) and Advanced Graph Neural Networks (10 papers). Jiawei Sheng collaborates with scholars based in China, Australia and United States. Jiawei Sheng's co-authors include Shu Guo, Tingwen Liu, Xin Cong, Tingwen Liu, Jiangxia Cao, Bowen Yu, Bin Wang, Hongbo Xü, Yiming Hei and Qian Li and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Jiawei Sheng

23 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiawei Sheng China	9	282	95	67	51	10	29	318
Fen Lin China	13	388 1.4×	83 0.9×	51 0.8×	68 1.3×	13 1.3×	22	421
Jinbae Im South Korea	4	183 0.6×	177 1.9×	63 0.9×	57 1.1×	14 1.4×	4	245
Sehee Chung South Korea	4	181 0.6×	186 2.0×	66 1.0×	50 1.0×	13 1.3×	6	245
Xinyu Lin China	8	174 0.6×	184 1.9×	39 0.6×	75 1.5×	6 0.6×	17	276
Deqing Yang China	9	177 0.6×	120 1.3×	28 0.4×	35 0.7×	17 1.7×	34	232
Shulin Liu China	7	273 1.0×	64 0.7×	29 0.4×	23 0.5×	14 1.4×	17	302
Kathryn Mazaitis United States	6	319 1.1×	48 0.5×	32 0.5×	54 1.1×	7 0.7×	10	342
Srinivasan H. Sengamedu United States	10	189 0.7×	140 1.5×	66 1.0×	48 0.9×	37 3.7×	22	293
Xisen Jin United States	5	400 1.4×	48 0.5×	50 0.7×	89 1.7×	7 0.7×	7	427
Kangyi Lin China	6	160 0.6×	158 1.7×	26 0.4×	57 1.1×	11 1.1×	9	207

Countries citing papers authored by Jiawei Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Jiawei Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawei Sheng

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

Hei, Yiming, Jiawei Sheng, Shu Guo, et al.. (2025). RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction. Neurocomputing. 626. 129504–129504.

Sheng, Jiawei, et al.. (2025). Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. ArXiv.org. 1186–1196.

Sheng, Jiawei, et al.. (2025). Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. 719–728. 1 indexed citations

Sheng, Jiawei, et al.. (2025). Graph Wave Networks. 1365–1379.

Sheng, Jiawei, et al.. (2025). Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. 9423–9433. 1 indexed citations

Cui, Shiyao, et al.. (2024). Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1274–1285. 22 indexed citations

Zhang, Xinghua, et al.. (2024). Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. 630–640. 1 indexed citations

Hei, Yiming, Jiawei Sheng, Lihong Wang, et al.. (2024). Decomposition and recombination. A soft cascade model for event detection. Knowledge-Based Systems. 298. 111924–111924.

Sheng, Jiawei, et al.. (2024). IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. 4436–4445. 2 indexed citations

10.

Sheng, Jiawei, et al.. (2024). Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. 4103–4117. 3 indexed citations

11.

Li, Qian, et al.. (2023). Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. 2499–2508. 21 indexed citations

12.

Li, Qian, Shu Guo, Jia Wu, et al.. (2023). Event Extraction by Associating Event Types and Argument Roles. IEEE Transactions on Big Data. 9(6). 1549–1560. 8 indexed citations

13.

Li, Qian, Jianxin Li, Cheng Ji, et al.. (2023). Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Transactions on the Web. 17(3). 1–26. 7 indexed citations

14.

Hei, Yiming, Lihong Wang, Jiawei Sheng, et al.. (2023). Label graph augmented soft cascade decoding model for overlapping event extraction. International Journal of Machine Learning and Cybernetics. 15(1). 79–95. 4 indexed citations

15.

Li, Qian, Jianxin Li, Jiawei Sheng, et al.. (2022). A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6301–6321. 31 indexed citations

16.

Li, Qian, Hao Peng, Jianxin Li, et al.. (2021). Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.. arXiv (Cornell University). 2 indexed citations

17.

Sheng, Jiawei, Qian Li, Yiming Hei, et al.. (2021). A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. Data Intelligence. 3(3). 444–459. 6 indexed citations

18.

Wang, Lihong, et al.. (2021). Multi-level Connection Enhanced Representation Learning for Script Event Prediction. 3524–3533. 7 indexed citations

19.

Zhang, Xinghua, Bowen Yu, Tingwen Liu, et al.. (2021). Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 10746–10757. 8 indexed citations

20.

Sheng, Jiawei, et al.. (2020). Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. 1681–1691. 66 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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