Cunchao Tu

3.3k total citations · 2 hit papers
22 papers, 1.5k citations indexed

About

Cunchao Tu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Political Science and International Relations. According to data from OpenAlex, Cunchao Tu has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 5 papers in Political Science and International Relations. Recurrent topics in Cunchao Tu's work include Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (9 papers) and Topic Modeling (6 papers). Cunchao Tu is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (9 papers) and Topic Modeling (6 papers). Cunchao Tu collaborates with scholars based in China and Singapore. Cunchao Tu's co-authors include Maosong Sun, Zhiyuan Liu, Chaojun Xiao, Huimin Chen, Cheng Yang, Haoxi Zhong, Yankai Lin, Han Liu, Zhipeng Guo and Zhengyan Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology and Journal of Computer Science and Technology.

In The Last Decade

Cunchao Tu

22 papers receiving 1.5k citations

Hit Papers

Legal Judgment Prediction via Topological Learning 2018 2026 2020 2023 2018 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Legal Judgment Prediction via Topological Learning
    2018 186 citations Haoxi Zhong, Zhipeng Guo et al. profile →
  2. Lawformer: A pre-trained language model for Chinese legal long documents
    2021 131 citations Chaojun Xiao, Zhiyuan Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunchao Tu China 15 1.2k 447 429 247 184 22 1.5k
Luigi Di Italy 15 502 0.4× 153 0.3× 246 0.6× 238 1.0× 46 0.3× 63 867
Junzhou Zhao China 14 315 0.3× 84 0.2× 220 0.5× 92 0.4× 43 0.2× 62 620
Andrea Tagarelli Italy 21 511 0.4× 33 0.1× 332 0.8× 334 1.4× 16 0.1× 109 1.1k
L. Karl Branting United States 18 608 0.5× 365 0.8× 21 0.0× 147 0.6× 143 0.8× 65 894
Phan Minh Dũng Thailand 17 3.0k 2.5× 194 0.4× 26 0.1× 220 0.9× 17 0.1× 49 3.2k
Weizhi Ma China 20 1.1k 0.9× 77 0.2× 52 0.1× 1.1k 4.6× 15 0.1× 76 1.6k
Sukomal Pal India 12 479 0.4× 63 0.1× 47 0.1× 292 1.2× 12 0.1× 63 712
Zhicheng Dou China 24 1.1k 0.9× 37 0.1× 33 0.1× 1.3k 5.3× 19 0.1× 169 2.0k
Apostol Natsev United States 23 511 0.4× 178 0.4× 78 0.2× 171 0.7× 3 0.0× 72 2.2k
Serena Villata France 17 644 0.5× 52 0.1× 21 0.0× 166 0.7× 14 0.1× 75 793

Countries citing papers authored by Cunchao Tu

Since Specialization
Citations

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

Fields of papers citing papers by Cunchao Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunchao Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Cunchao Tu. A scholar is included among the top collaborators of Cunchao Tu 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 Cunchao Tu. Cunchao Tu 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.
Feng, Yong, Chaojun Xiao, Lei Hou, et al.. (2022). LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. Findings of the Association for Computational Linguistics: ACL 2022. 183–201. 1 indexed citations
2.
Xiao, Chaojun, et al.. (2021). Lawformer: A pre-trained language model for Chinese legal long documents. 2. 79–84. 131 indexed citations breakdown →
3.
Cheng, Yang, et al.. (2021). Network Embedding. 1 indexed citations
4.
Zhong, Haoxi, Chaojun Xiao, Cunchao Tu, et al.. (2020). JEC-QA: A Legal-Domain Question Answering Dataset. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9701–9708. 59 indexed citations
5.
Zhong, Haoxi, et al.. (2020). Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1250–1257. 67 indexed citations
6.
Yang, Cheng, et al.. (2019). CED: Credible Early Detection of Social Media Rumors. IEEE Transactions on Knowledge and Data Engineering. 33(8). 3035–3047. 106 indexed citations
7.
Zhong, Haoxi, Zhipeng Guo, Cunchao Tu, et al.. (2018). Legal Judgment Prediction via Topological Learning. 3540–3549. 186 indexed citations breakdown →
8.
Hu, Zikun, et al.. (2018). Few-Shot Charge Prediction with Discriminative Legal Attributes. International Conference on Computational Linguistics. 487–498. 85 indexed citations
9.
Tu, Cunchao, Hao Wang, Zhengyan Zhang, et al.. (2018). A Unified Framework for Community Detection and Network Representation Learning. IEEE Transactions on Knowledge and Data Engineering. 31(6). 1051–1065. 80 indexed citations
10.
Yang, Cheng, et al.. (2018). Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 28 indexed citations
11.
Tu, Cunchao, Han Liu, Zhiyuan Liu, & Maosong Sun. (2017). CANE: Context-Aware Network Embedding for Relation Modeling. 1722–1731. 149 indexed citations
12.
Yang, Cheng, et al.. (2017). Network representation learning: an overview. Scientia Sinica Informationis. 47(8). 980–996. 25 indexed citations
13.
Yang, Cheng, Maosong Sun, Zhiyuan Liu, & Cunchao Tu. (2017). Fast Network Embedding Enhancement via High Order Proximity Approximation. 3894–3900. 99 indexed citations
14.
Tu, Cunchao, Zhiyuan Liu, Huanbo Luan, & Maosong Sun. (2017). PRISM. ACM Transactions on Intelligent Systems and Technology. 8(6). 1–16. 5 indexed citations
15.
Shen, Shiqi, et al.. (2017). Recent Advances on Neural Headline Generation. Journal of Computer Science and Technology. 32(4). 768–784. 37 indexed citations
16.
Tu, Cunchao, et al.. (2016). Community-enhanced Network Representation Learning for Network Analysis. arXiv (Cornell University). 9 indexed citations
17.
Chen, Huimin, Maosong Sun, Cunchao Tu, Yankai Lin, & Zhiyuan Liu. (2016). Neural Sentiment Classification with User and Product Attention. 1650–1659. 219 indexed citations
18.
Tu, Cunchao, et al.. (2016). Max-margin deepwalk: discriminative learning of network representation. International Joint Conference on Artificial Intelligence. 3889–3895. 155 indexed citations
19.
Sun, Maosong, Cunchao Tu, Le Zhang, & Zhiyuan Liu. (2015). 中文社交媒体谣言统计语义分析. Scientia Sinica Informationis. 45(12). 1536–1546. 9 indexed citations
20.
Liu, Zhiyuan, Cunchao Tu, & Maosong Sun. (2012). Tag Dispatch Model with Social Network Regularization for Microblog User Tag Suggestion. International Conference on Computational Linguistics. 755–764. 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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