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

Hierarchical Attention Networks for Document Classification 2016 2026 2019 2022 2016 2023 2023 2022 500 1000 1.5k 2.0k 2.5k

Peers

Diyi Yang
Comparison fields: 5 of 163
  • Artificial Intelligence 4.7k
  • Information Systems 1.1k
  • Sociology and Political Science 837
  • Computer Science Applications 726
  • Computer Vision and Pattern Recognition 692
Replace Mark Steyvers with:
Mark Steyvers United States
Iryna Gurevych Germany
Nigel Shadbolt United Kingdom
Khaled Shaalan United Arab Emirates
Alexander Maedche Germany
Daniel S. Weld United States
Karrie Karahalios United States
Carl Gutwin Canada
Dan Jurafsky United States
Jaime Teevan United States
Mark Steyvers United States View profile →
Citations per field, relative to Diyi Yang
Diyi Yang · 1×
Citations per year, relative to Diyi Yang
Diyi Yang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 8
3 7
4 21
5 1
6
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? breakdown →
269
7 14
8 2
9 7
10 1
11 2
12 4
13 13
14 13
15 5
16 24
17 89
18
Hierarchical Attention Networks for Document Classification breakdown →
2941
19 15
20
Forum Thread Recommendation for Massive Open Online Courses
56

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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