Tingwen Liu

1.1k total citations
48 papers, 495 citations indexed

About

Tingwen Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Tingwen Liu has authored 48 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Tingwen Liu's work include Topic Modeling (32 papers), Natural Language Processing Techniques (19 papers) and Text and Document Classification Technologies (11 papers). Tingwen Liu is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (19 papers) and Text and Document Classification Technologies (11 papers). Tingwen Liu collaborates with scholars based in China and Cayman Islands. Tingwen Liu's co-authors include Bowen Yu, Shiyao Cui, Zhenyu Zhang, Jinqiao Shi, Jiawei Sheng, Xuebin Wang, Yubin Wang, Jiangxia Cao, Jiawei Sheng and Bin Wang and has published in prestigious journals such as ACM Transactions on Information Systems, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Computer Science and Technology.

In The Last Decade

Tingwen Liu

38 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingwen Liu China 11 439 112 67 67 36 48 495
Shichao Pei United States 9 280 0.6× 86 0.8× 46 0.7× 106 1.6× 23 0.6× 24 329
Avirup Sil United States 12 525 1.2× 88 0.8× 52 0.8× 80 1.2× 12 0.3× 32 557
Jiangxia Cao China 7 238 0.5× 211 1.9× 57 0.9× 44 0.7× 23 0.6× 15 294
Pavan Kapanipathi United States 12 323 0.7× 95 0.8× 46 0.7× 37 0.6× 18 0.5× 38 377
Luciano Del Corro Germany 7 427 1.0× 87 0.8× 41 0.6× 55 0.8× 13 0.4× 10 459
Stijn De Saeger Japan 11 352 0.8× 69 0.6× 28 0.4× 27 0.4× 14 0.4× 26 398
Muyun Yang China 11 362 0.8× 77 0.7× 77 1.1× 12 0.2× 18 0.5× 72 422
Srinivasan H. Sengamedu United States 10 189 0.4× 140 1.3× 48 0.7× 66 1.0× 37 1.0× 22 293
Elmar Haußmann Germany 8 318 0.7× 79 0.7× 42 0.6× 43 0.6× 23 0.6× 12 354
Arvind Neelakantan United States 8 607 1.4× 44 0.4× 68 1.0× 57 0.9× 13 0.4× 11 645

Countries citing papers authored by Tingwen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tingwen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingwen Liu. A scholar is included among the top collaborators of Tingwen Liu 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 Tingwen Liu. Tingwen Liu 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.
Sheng, Jiawei, et al.. (2025). Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. ArXiv.org. 1186–1196.
2.
Sheng, Jiawei, et al.. (2025). Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. 719–728. 1 indexed citations
3.
Sheng, Jiawei, et al.. (2025). Graph Wave Networks. 1365–1379.
4.
Sheng, Jiawei, et al.. (2025). Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. 9423–9433. 1 indexed citations
5.
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
6.
Zhang, Xinghua, et al.. (2024). Cross-Domain NER under a Divide-and-Transfer Paradigm. ACM Transactions on Information Systems. 42(5). 1–32.
7.
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9.
Yu, Bowen, et al.. (2024). Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network. Journal of Computer Science and Technology. 39(1). 227–242. 1 indexed citations
10.
Zhang, Xinghua, et al.. (2024). Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. 630–640. 1 indexed citations
11.
Sheng, Jiawei, et al.. (2024). IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. 4436–4445. 2 indexed citations
12.
Zhang, Zhenyu, et al.. (2023). Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. 1683–1692. 4 indexed citations
13.
14.
Liu, Tingwen, et al.. (2022). Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. 2022 International Joint Conference on Neural Networks (IJCNN). 28. 1–7.
15.
Cong, Xin, Shiyao Cui, Bowen Yu, et al.. (2021). Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. 28–40. 29 indexed citations
16.
Cui, Shiyao, Bowen Yu, Tingwen Liu, et al.. (2020). Event Detection with Relation-Aware Graph Convolutional Neural Networks. arXiv (Cornell University). 4 indexed citations
17.
Zhang, Zhenyu, et al.. (2020). Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9620–9627. 25 indexed citations
18.
Cui, Shiyao, Bowen Yu, Tingwen Liu, et al.. (2020). Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. 2329–2339. 68 indexed citations
19.
Sheng, Jiawei, et al.. (2020). Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. 1681–1691. 66 indexed citations
20.
Li, Yanzeng, et al.. (2018). Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. Asian Conference on Machine Learning. 518–533. 3 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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