Heng Ji

6.7k citations
186 papers · 3.5k · 1 hit paper · h-index 32

Impact in

Papers in

Heng Ji

175 papers receiving 3.2k citations

Hit Papers

A Survey of Knowledge-enhanced Text Generation 2022 · 131 citations
1310+1+2Years since publication4080120

Peers

Heng Ji
Comparison fields: 5 of 113
  • Artificial Intelligence 2.9k
  • Management Science and Operations Research 356
  • Computer Vision and Pattern Recognition 546
  • Information Systems 454
  • Computer Science Applications 86
Replace Benjamin Van Durme with:
Benjamin Van Durme United States
Zhongyu Wei China
Pontus Stenetorp United Kingdom
Heng Ji United States
Antoine Bordes Israel
Max Chickering United States
Michael Bendersky United States
Hugo Zaragoza United Kingdom
Doug Downey United States
Heng Ji relative to Benjamin Van Durme United States Benjamin Van Durme's profile →
Citations per field
00.5×
Benjamin Van Durme · 1×
Citations per year

Countries citing papers authored by Heng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Heng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heng Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heng Ji Line = papers co-authored together Heng Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overview of the TAC 2010 Knowledge Base Population Track
2010251
2 2017202
3
A Survey of Knowledge-enhanced Text Generation
Hit paper breakdown →
2022131
4 2020127
5 2011107
6 202181
7 201875
8
Linking Tweets to News: A Framework to Enrich Short Text Data in Social Media
201374
9 200971
10 202159
11 200958
12 202258
13 201556
14 202256
15
Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.
201555
16 202148
17 202147
18
New Tools for Web-Scale N-grams
201047
19 202044
20 202044

About Heng Ji

Heng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Molecular Biology and Information Systems, having authored 186 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (126 papers), Natural Language Processing Techniques (101 papers), Semantic Web and Ontologies (24 papers), Advanced Text Analysis Techniques (23 papers), Data Quality and Management (22 papers), Multimodal Machine Learning Applications (16 papers), Biomedical Text Mining and Ontologies (16 papers) and Advanced Graph Neural Networks (15 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Management Science and Operations Research (356 citations), Computer Vision and Pattern Recognition (546 citations), Information Systems (454 citations) and Computer Science Applications (86 citations). Heng Ji has collaborated with scholars based in United States, China and France. Frequent co-authors include Ralph Grishman, Xiaoman Pan, Joel Nothman, Kevin Knight, Kira Griffitt, Joe Ellis, Hoa Trang Dang, Jonathan May, Boliang Zhang and Jiawei Han. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation, IEEE Photonics Technology Letters, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.

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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