Heng Ji

6.7k total citations · 1 hit paper
186 papers, 3.5k citations indexed

About

Heng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Heng Ji has authored 186 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 23 papers in Management Science and Operations Research. Recurrent topics in Heng Ji's work include Topic Modeling (126 papers), Natural Language Processing Techniques (101 papers) and Semantic Web and Ontologies (24 papers). Heng Ji is often cited by papers focused on Topic Modeling (126 papers), Natural Language Processing Techniques (101 papers) and Semantic Web and Ontologies (24 papers). Heng Ji collaborates with scholars based in United States, China and France. Heng Ji's co-authors include Ralph Grishman, Xiaoman Pan, Joel Nothman, Kevin Knight, Hoa Trang Dang, Joe Ellis, Kira Griffitt, Jonathan May, Boliang Zhang and Jiawei Han and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Heng Ji

175 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

A Survey of Knowledge-enhanced Text Generation

2022 131 citations Qingyun Wang, Heng Ji et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heng Ji United States	32	2.9k	546	454	356	271	186	3.5k
Rion Snow United States	10	3.3k 1.1×	313 0.6×	624 1.4×	398 1.1×	365 1.3×	10	3.9k
Pontus Stenetorp United Kingdom	18	3.0k 1.0×	509 0.9×	339 0.7×	407 1.1×	426 1.6×	49	3.4k
Colin Evans United States	4	2.7k 0.9×	351 0.6×	537 1.2×	560 1.6×	209 0.8×	4	2.9k
Jamie Taylor	2	2.6k 0.9×	344 0.6×	500 1.1×	550 1.5×	196 0.7×	3	2.8k
Max Jakob Germany	6	2.3k 0.8×	285 0.5×	613 1.4×	514 1.4×	279 1.0×	7	2.6k
Antoine Bordes Israel	16	3.1k 1.1×	812 1.5×	442 1.0×	222 0.6×	157 0.6×	23	3.3k
Pablo N. Mendes United States	13	2.6k 0.9×	298 0.5×	767 1.7×	671 1.9×	384 1.4×	33	3.0k
Guillaume Lample Israel	10	3.8k 1.3×	713 1.3×	379 0.8×	314 0.9×	418 1.5×	13	4.2k
Heng Ji United States	33	4.0k 1.4×	404 0.7×	780 1.7×	572 1.6×	340 1.3×	162	4.6k
Maximilian Nickel United States	12	2.1k 0.7×	302 0.6×	325 0.7×	470 1.3×	300 1.1×	21	2.4k

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-authorship network of co-authors of Heng Ji

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ji, Heng, et al.. (2025). Discovery of a molecular adsorbent for efficient CO ₂ /CH ₄ separation using a computation-ready experimental database of porous molecular materials. Chemical Science. 16(18). 7685–7694. 1 indexed citations

2.

He, Jiayi, et al.. (2025). Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6405–6421.

3.

Ju, Yang, et al.. (2025). Regularly Arranged Heterogeneous Pores in Gas Separation Membranes Constructed by Cocrystallization of Porous Organic Molecules. Angewandte Chemie International Edition. 64(7). e202420086–e202420086. 6 indexed citations

4.

Shi, Ying, et al.. (2025). Artificial intelligence unlocks the future of oral organoid research. 1(3). 100035–100035.

5.

Ji, Heng, et al.. (2024). L+M-24: Building a Dataset for Language+Molecules @ ACL 2024. 1–9. 1 indexed citations

6.

Sikka, Karan, et al.. (2024). Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. 192–210. 3 indexed citations

7.

Liu, Gang, et al.. (2024). Large Language Models on Graphs: A Comprehensive Survey. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8622–8642. 40 indexed citations

8.

Chan, Hou Pong, et al.. (2023). Zero-shot Faithful Factual Error Correction. 5660–5676. 8 indexed citations

9.

Lai, Tuan, et al.. (2023). External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. 3 indexed citations

10.

Wang, Mingxuan, et al.. (2021). Learning Shared Semantic Space for Speech-to-Text Translation. 2214–2225. 41 indexed citations

11.

Yu, Meng, Yunyi Zhang, Jiaxin Huang, et al.. (2020). Text Classification Using Label Names Only: A Language Model Self-Training Approach. 9006–9017. 127 indexed citations

12.

Zhang, Xiaomei, Yibo Wu, Lifu Huang, Heng Ji, & Guohong Cao. (2019). Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing. IEEE Transactions on Mobile Computing. 20(3). 1001–1016. 39 indexed citations

13.

Pan, Xiaoman, Boliang Zhang, Jonathan May, et al.. (2017). Cross-lingual Name Tagging and Linking for 282 Languages. 1946–1958. 202 indexed citations

14.

Ji, Heng, Joel Nothman, Ben Hachey, & Radu Florian. (2015). Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.. Theory and applications of categories. 55 indexed citations

15.

Guo, Weiwei, et al.. (2013). Linking Tweets to News: A Framework to Enrich Short Text Data in Social Media. Meeting of the Association for Computational Linguistics. 239–249. 74 indexed citations

16.

Ji, Heng. (2011). Mining Name Translations from Comparable Corpora by Creating Bilingual Information Networks.. Meeting of the Association for Computational Linguistics. 34–37. 3 indexed citations

17.

Chen, Zheng, Suzanne Tamang, Adam J. Lee, et al.. (2010). CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description. Theory and applications of categories. 39 indexed citations

18.

Li, Xiang, et al.. (2010). Domain-Independent Novel Event Discovery and Semi-Automatic Event Annotation. Waseda University Repository (Waseda University). 233–242. 10 indexed citations

19.

Ji, Heng. (2010). Challenges from Information Extraction to Information Fusion. International Conference on Computational Linguistics. 507–515. 7 indexed citations

20.

Ji, Heng & Dekang Lin. (2009). Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection. Pacific Asia Conference on Language, Information, and Computation. 1. 220–229. 31 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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