Diyi Yang

13.6k total citations · 4 hit papers
169 papers, 7.0k citations indexed

About

Diyi Yang is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Diyi Yang has authored 169 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Artificial Intelligence, 28 papers in Communication and 25 papers in Sociology and Political Science. Recurrent topics in Diyi Yang's work include Topic Modeling (69 papers), Natural Language Processing Techniques (51 papers) and Online Learning and Analytics (15 papers). Diyi Yang is often cited by papers focused on Topic Modeling (69 papers), Natural Language Processing Techniques (51 papers) and Online Learning and Analytics (15 papers). Diyi Yang collaborates with scholars based in United States, China and Germany. Diyi Yang's co-authors include Eduard Hovy, Chris Dyer, Zichao Yang, Alex Smola, Xiaodong He, Carolyn Penstein Rosé, Miaomiao Wen, Jiaao Chen, Robert E. Kraut and William Yang Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Computational Linguistics and Nature Human Behaviour.

In The Last Decade

Diyi Yang

154 papers receiving 6.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Hierarchical Attention Networks for Document Classification

2016 2.9k citations Zichao Yang, Diyi Yang et al. profile →
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

2023 269 citations Chengwei Qin, Zhuosheng Zhang et al. profile →
Can Large Language Models Transform Computational Social Science?

2023 201 citations Caleb Ziems, William A. Held et al. profile →
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

2022 120 citations Diyi Yang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Diyi Yang	4.7k	1.1k	837	726	692	169	7.0k
Mark Steyvers	6.3k 1.3×	1.9k 1.8×	877 1.0×	344 0.5×	862 1.2×	138	12.6k
Nigel Shadbolt	2.6k 0.6×	1.9k 1.7×	989 1.2×	398 0.5×	430 0.6×	270	5.6k
Iryna Gurevych	10.0k 2.1×	2.5k 2.3×	897 1.1×	409 0.6×	1.6k 2.2×	393	12.4k
Khaled Shaalan	3.3k 0.7×	1.9k 1.8×	789 0.9×	422 0.6×	422 0.6×	232	6.7k
Alexander Maedche	4.5k 0.9×	3.1k 2.9×	1.0k 1.2×	439 0.6×	365 0.5×	246	7.9k
Daniel S. Weld	5.0k 1.0×	1.5k 1.3×	375 0.4×	722 1.0×	598 0.9×	114	7.4k
Karrie Karahalios	1.5k 0.3×	843 0.8×	2.1k 2.5×	521 0.7×	834 1.2×	168	5.9k
Carl Gutwin	1.9k 0.4×	1.7k 1.6×	1.2k 1.5×	701 1.0×	2.5k 3.6×	280	10.0k
Jaime Teevan	2.5k 0.5×	3.7k 3.4×	1.1k 1.4×	1.3k 1.8×	792 1.1×	152	7.8k
Dan Jurafsky	9.9k 2.1×	1.4k 1.3×	1.2k 1.5×	186 0.3×	1.2k 1.8×	203	13.5k

Countries citing papers authored by Diyi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Diyi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diyi Yang

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

All Works

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20 of 20 papers shown

Shen, Hua, Michael Xieyang Liu, Andrés Monroy‐Hernández, et al.. (2025). Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities. 1–6. 1 indexed citations

Liang, Weixin, Zhengxuan Wu, Hancheng Cao, et al.. (2025). Quantifying large language model usage in scientific papers. Nature Human Behaviour. 9(12). 2599–2609. 8 indexed citations

Chang, Cheng, et al.. (2024). Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles. 10570–10603. 7 indexed citations

Zhang, Jingwen, et al.. (2024). How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs. 14322–14350. 21 indexed citations

Wang, Lili, et al.. (2024). Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations. 2774–2788. 1 indexed citations

Held, William A., et al.. (2023). Task-Agnostic Low-Rank Adapters for Unseen English Dialects. 7857–7870. 2 indexed citations

Yang, Diyi, et al.. (2023). Forgotten Knowledge: Examining the Citational Amnesia in NLP. NPARC. 6192–6208. 7 indexed citations

Chen, Jiaao, et al.. (2023). Compositional Data Augmentation for Abstractive Conversation Summarization. 1471–1488. 1 indexed citations

Chen, Jiaao & Diyi Yang. (2023). Controllable Conversation Generation with Conversation Structures via Diffusion Models. 7238–7251. 2 indexed citations

10.

Shaikh, Omar, et al.. (2023). Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. 6550–6569. 4 indexed citations

11.

Qin, Chengwei, et al.. (2023). Is ChatGPT a General-Purpose Natural Language Processing Task Solver?. 1339–1384. 269 indexed citations breakdown →

12.

Pfeffer, Jürgen, Daniel Matter, Kokil Jaidka, et al.. (2023). Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1073–1081. 14 indexed citations

13.

Wang, Tony, et al.. (2023). Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms. 1–17. 13 indexed citations

14.

Yang, Diyi, et al.. (2022). Explaining Toxic Text via Knowledge Enhanced Text Generation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 811–826. 13 indexed citations

15.

Zhang, Hongxin, Yanzhe Zhang, Ruiyi Zhang, & Diyi Yang. (2022). Robustness of Demonstration-based Learning Under Limited Data Scenario. 1769–1782. 5 indexed citations

16.

Wu, Yuwei, Xuezhe Ma, & Diyi Yang. (2021). Personalized Response Generation via Generative Split Memory Network. 1956–1970. 24 indexed citations

17.

ElSherief, Mai, et al.. (2021). Latent Hatred: A Benchmark for Understanding Implicit Hate Speech. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 345–363. 89 indexed citations

18.

Yang, Zichao, Diyi Yang, Chris Dyer, et al.. (2016). Hierarchical Attention Networks for Document Classification. 1480–1489. 2941 indexed citations breakdown →

19.

Ferschke, Oliver, et al.. (2015). Fostering Discussion across Communication Media in Massive Open Online Courses.. Computer Supported Collaborative Learning. 15 indexed citations

20.

Yang, Diyi, et al.. (2014). Forum Thread Recommendation for Massive Open Online Courses. Educational Data Mining. 257–260. 56 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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