Luheng He

4.4k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Topic Modeling (11 papers)Natural Language Processing Techniques (10 papers)Multimodal Machine Learning Applications (6 papers)
Partner nations
United States

In The Last Decade

Luheng He

13 papers receiving 1.0k citations

Hit Papers

Multi-Task Identification of Entities, Relations, and Cor...20182026202020232018100200300

Peers

Luheng He
Comparison fields: 5 of 58
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 189
  • Information Systems 117
  • Molecular Biology 96
  • Management Science and Operations Research 79
Replace Radu Florian with:
Radu Florian United States
Akari Asai United States
Gabriel Stanovsky Israel
Matthew Kelcey United States
Illia Polosukhin United States
Jennimaria Palomaki United States
Xinya Du United States
Joel Nothman Australia
Mihir Kale United States
Luheng He relative to Radu Florian United States Radu Florian's profile →
Citations per field
00.5×1.5×1.8×
Radu Florian · 1×
Citations per year

Countries citing papers authored by Luheng He

Since Specialization
Citations

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

Fields of papers citing papers by Luheng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luheng He

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 37
2 12
3 27
4 24
5
122
6 46
7
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Constructionbreakdown →
335
8 97
9 218
10 15
11 113
12 29
13
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
9

About Luheng He

Luheng He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (189 citations) and Management Science and Operations Research (79 citations). Luheng He has collaborated with scholars based in United States. Frequent co-authors include Luke Zettlemoyer, Mike Lewis, Kenton Lee, Yi Luan, Hannaneh Hajishirzi, Mari Ostendorf, Yuan Zhang, Jason Baldridge, Omer Levy and Daniel Andor.

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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