Changzhi Sun

430 total citations
14 papers, 232 citations indexed

About

Changzhi Sun is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Changzhi Sun has authored 14 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Management Science and Operations Research. Recurrent topics in Changzhi Sun's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (3 papers). Changzhi Sun is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (3 papers). Changzhi Sun collaborates with scholars based in China, United States and United Kingdom. Changzhi Sun's co-authors include Yuanbin Wu, Junchi Yan, Yijun Wang, Lei Li, Hao Zhou, Man Lan, Shiliang Sun, Yeyun Gong, Ming Gong and Daxin Jiang and has published in prestigious journals such as Applied Optics, World Wide Web and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Changzhi Sun

11 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changzhi Sun China	6	229	48	32	21	19	14	232
Zeqi Tan China	8	286 1.2×	62 1.3×	38 1.2×	17 0.8×	19 1.0×	16	301
Zeqiu Wu United States	6	277 1.2×	36 0.8×	33 1.0×	33 1.6×	28 1.5×	10	289
Minh C. Phan Singapore	7	191 0.8×	33 0.7×	42 1.3×	17 0.8×	30 1.6×	9	204
Daniil Sorokin Germany	7	266 1.2×	25 0.5×	43 1.3×	39 1.9×	20 1.1×	11	275
Martin Josifoski Switzerland	4	209 0.9×	32 0.7×	24 0.8×	31 1.5×	22 1.2×	8	231
Hangfeng He United States	6	234 1.0×	24 0.5×	15 0.5×	19 0.9×	29 1.5×	16	247
Mohammad Golam Sohrab Japan	6	255 1.1×	38 0.8×	67 2.1×	12 0.6×	25 1.3×	12	270
Nitish Gupta United States	6	219 1.0×	47 1.0×	17 0.5×	30 1.4×	19 1.0×	10	225
Swarnadeep Saha United States	7	201 0.9×	20 0.4×	42 1.3×	35 1.7×	10 0.5×	14	228

Countries citing papers authored by Changzhi Sun

Since Specialization

Citations

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

Fields of papers citing papers by Changzhi Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changzhi Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Changzhi Sun. A scholar is included among the top collaborators of Changzhi Sun 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 Changzhi Sun. Changzhi Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Sun, Changzhi, et al.. (2025). Multi-label out-of-distribution detection with spectral normalized joint energy. World Wide Web. 28(4).

Yang, Chong, et al.. (2024). From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17790–17798. 1 indexed citations

Wu, Hongyi, et al.. (2024). CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays. 6744–6759.

Zhang, Yuxuan, et al.. (2024). Refraction displacement pulse sequence combination based on a fast steering mirror stabilization system. Applied Optics. 63(24). 6513–6513.

Wang, Yijun, Changzhi Sun, Yuanbin Wu, et al.. (2021). ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. 2877–2887. 7 indexed citations

Sun, Changzhi, Jiangtao Feng, Lin Qiu, et al.. (2021). Learning Logic Rules for Document-Level Relation Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1239–1250. 11 indexed citations

Wang, Yijun, Changzhi Sun, Yuanbin Wu, et al.. (2021). UniRE: A Unified Label Space for Entity Relation Extraction. 220–231. 70 indexed citations

Zhou, Jie, Yuanbin Wu, Changzhi Sun, & Liang He. (2021). Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons. 608–618. 3 indexed citations

Sun, Changzhi, et al.. (2021). Probabilistic Graph Reasoning for Natural Proof Generation. 3140–3151. 3 indexed citations

10.

Wang, Yijun, Changzhi Sun, Yuanbin Wu, et al.. (2020). Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. 1692–1705. 25 indexed citations

11.

Sun, Changzhi, Yeyun Gong, Yuanbin Wu, et al.. (2019). Joint Type Inference on Entities and Relations via Graph Convolutional Networks. 1361–1370. 73 indexed citations

12.

Sun, Changzhi & Yuanbin Wu. (2019). Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7039–7046. 5 indexed citations

13.

Sun, Changzhi, Yuanbin Wu, Man Lan, et al.. (2018). Extracting Entities and Relations with Joint Minimum Risk Training. 32 indexed citations

14.

Sun, Changzhi, Yuanbin Wu, Man Lan, Shiliang Sun, & Qi Zhang. (2017). Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. 1033–1043. 2 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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