Yangyang Kang

628 total citations
48 papers, 358 citations indexed

About

Yangyang Kang is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yangyang Kang has authored 48 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 11 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Yangyang Kang's work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (11 papers). Yangyang Kang is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (11 papers). Yangyang Kang collaborates with scholars based in China, United States and Cayman Islands. Yangyang Kang's co-authors include Changlong Sun, Xiaozhong Liu, Yong Zhang, Zhuoren Jiang, Jixiang Li, Feng Zhang, Luo Si, Guodong Zhou, Shoushan Li and Min Zhang and has published in prestigious journals such as Expert Systems with Applications, Cement and Concrete Composites and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yangyang Kang

38 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangyang Kang China 10 250 65 47 26 22 48 358
Shiqi Zhao China 13 586 2.3× 12 0.2× 110 2.3× 16 0.6× 118 5.4× 45 705
Xingmei Wang China 2 64 0.3× 73 1.1× 24 0.5× 17 0.7× 10 0.5× 4 185
Liqiang Xiao China 10 240 1.0× 22 0.3× 28 0.6× 8 0.3× 79 3.6× 27 326
Lu Zhou United States 9 129 0.5× 44 0.7× 29 0.6× 3 0.1× 17 0.8× 27 284
David Lai Australia 10 120 0.5× 20 0.3× 80 1.7× 68 2.6× 19 0.9× 29 349
Vinit Kumar India 10 60 0.2× 18 0.3× 54 1.1× 6 0.2× 22 1.0× 34 241
Abdul Syukur Indonesia 7 141 0.6× 27 0.4× 54 1.1× 23 0.9× 85 3.9× 33 331
Binyang Li China 11 147 0.6× 13 0.2× 57 1.2× 90 3.5× 14 0.6× 35 345
Y. Hu United States 12 35 0.1× 17 0.3× 40 0.9× 10 0.4× 18 0.8× 20 433

Countries citing papers authored by Yangyang Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yangyang Kang. A scholar is included among the top collaborators of Yangyang Kang 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 Yangyang Kang. Yangyang Kang 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.
Kang, Yangyang, Jingyuan Zhang, Changlong Sun, et al.. (2025). P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts. 10611–10626. 1 indexed citations
2.
Kang, Yangyang, et al.. (2025). Refinement and Revision in Academic Writing: Integrating Multi-source Knowledge and LLMs with Delta Feedback. Expert Systems with Applications. 277. 127226–127226.
3.
Kang, Yangyang, et al.. (2024). DTDA: Dual-channel Triple-to-quintuple Data Augmentation for Comparative Opinion Quintuple Extraction. Knowledge-Based Systems. 307. 112734–112734. 1 indexed citations
4.
Kang, Yangyang, et al.. (2024). LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination. 2386–2398. 4 indexed citations
5.
6.
Kang, Yangyang, et al.. (2024). Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction. 2522–2526. 3 indexed citations
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9.
Jiang, Zhuoren, et al.. (2024). Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9223–9231. 2 indexed citations
10.
11.
Song, Kaisong, et al.. (2023). Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting. 3892–3897. 2 indexed citations
12.
Liu, Chengyuan, Yangyang Kang, Jingyuan Zhang, et al.. (2023). RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. 15342–15359. 6 indexed citations
13.
Jiang, Zhuoren, et al.. (2023). H2CGL: Modeling dynamics of citation network for impact prediction. Information Processing & Management. 60(6). 103512–103512. 7 indexed citations
14.
Song, Kaisong, Zhuoren Jiang, Yangyang Kang, et al.. (2023). Towards human-like perception: Learning structural causal model in heterogeneous graph. Information Processing & Management. 61(2). 103600–103600. 4 indexed citations
15.
Kang, Yangyang, et al.. (2023). Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. 2747–2756. 2 indexed citations
16.
Song, Kaisong, Yangyang Kang, Jiawei Liu, et al.. (2023). A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13582–13590.
17.
Li, Xurui, Kaiyuan Liu, Yangyang Kang, et al.. (2022). Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents. 2022 IEEE International Conference on Big Data (Big Data). 3505–3508.
18.
Dou, Lingling, Limin Lv, Yangyang Kang, et al.. (2021). Genome-wide identification and expression analysis of the GhIQD gene family in upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 2 indexed citations
19.
Jiang, Zhuoren, et al.. (2021). Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning. 3075–3087. 4 indexed citations
20.
Zhao, Qing, et al.. (2018). Exploiting the semantic graph for the representation and retrieval of medical documents. Computers in Biology and Medicine. 101. 39–50. 9 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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