Heng Ji

8.4k total citations · 3 hit papers
162 papers, 4.6k citations indexed

About

Heng Ji is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heng Ji has authored 162 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Artificial Intelligence, 29 papers in Information Systems and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heng Ji's work include Topic Modeling (117 papers), Natural Language Processing Techniques (87 papers) and Advanced Text Analysis Techniques (26 papers). Heng Ji is often cited by papers focused on Topic Modeling (117 papers), Natural Language Processing Techniques (87 papers) and Advanced Text Analysis Techniques (26 papers). Heng Ji collaborates with scholars based in United States, China and France. Heng Ji's co-authors include Qi Li, Ralph Grishman, Jiawei Han, Liang Huang, Lifu Huang, Ying Lin, Clare R. Voss, Lingfei Wu, Fei Huang and Sha Li and has published in prestigious journals such as Biomaterials, Knowledge-Based Systems and Nature Human Behaviour.

In The Last Decade

Heng Ji

152 papers receiving 4.3k 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.

Joint Event Extraction via Structured Prediction with Global Features

2013 326 citations Heng Ji et al. profile →
Incremental Joint Extraction of Entity Mentions and Relations

2014 313 citations Heng Ji et al. profile →
A Joint Neural Model for Information Extraction with Global Features

2020 225 citations Ying Lin, Heng Ji et al. profile →

Peers

Heng Ji

AI

IS

MSOR

CVPR

MB

Praveen Paritosh United States

David Yarowsky United States

Heng Ji United States

Douglas W. Oard United States

Ellen Riloff United States

Min‐Yen Kan Singapore

Rion Snow United States

Ido Dagan Israel

Philipp Cimiano Germany

Ana-Maria Popescu United States

Praveen Paritosh United States

Heng Ji

2.9k ×0.7

AI

605 ×0.8

IS

641 ×1.1

MSOR

417 ×1.0

CVPR

207 ×0.6

MB

Citations per year, relative to Heng Ji Heng Ji (= 1×) peers Praveen Paritosh

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.

Chen, Xiusi, et al.. (2025). DecisionFlow: Advancing Large Language Model as Principled Decision Maker. 16668–16692.

2.

Qian, Cheng, et al.. (2025). ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges. 1599–1633. 1 indexed citations

3.

Chan, Hou Pong, et al.. (2024). Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 730–749. 6 indexed citations

4.

Jiao, Yizhu, et al.. (2024). Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. 185–205.

5.

Diao, Shizhe, Yi R. Fung, Qing Lian, et al.. (2024). R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7113–7139. 6 indexed citations

6.

Wang, Qifan, et al.. (2024). LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. 3991–4008. 9 indexed citations

7.

Li, Sha, et al.. (2023). GLEN: General-Purpose Event Detection for Thousands of Types. 2823–2838. 6 indexed citations

8.

Wang, Xingyao, et al.. (2023). Code4Struct: Code Generation for Few-Shot Event Structure Prediction. 3640–3663. 18 indexed citations

9.

Yue, Zhenrui, et al.. (2023). Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. 7928–7943. 5 indexed citations

10.

Li, Sha, Heng Ji, & Jiawei Han. (2022). Open Relation and Event Type Discovery with Type Abstraction. 6864–6877. 3 indexed citations

11.

Jiao, Yizhu, et al.. (2022). Open-Vocabulary Argument Role Prediction For Event Extraction. 5404–5418. 5 indexed citations

12.

Li, Sha, Heng Ji, & Jiawei Han. (2021). Document-Level Event Argument Extraction by Conditional Generation. 894–908. 134 indexed citations

13.

Li, Manling, Tengfei Ma, Mo Yu, et al.. (2021). Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6443–6456. 13 indexed citations

14.

Lin, Ying, Heng Ji, Fei Huang, & Lingfei Wu. (2020). A Joint Neural Model for Information Extraction with Global Features. 7999–8009. 225 indexed citations breakdown →

15.

Huang, Lifu, et al.. (2018). Zero-Shot Transfer Learning for Event Extraction. 2160–2170. 117 indexed citations

16.

Huang, Lifu, et al.. (2017). Learning Phrase Embeddings from Paraphrases with GRUs. arXiv (Cornell University). 16–23. 4 indexed citations

17.

Zhang, Boliang, Di Lu, Xiaoman Pan, et al.. (2017). Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging. International Joint Conference on Natural Language Processing. 1. 362–372. 6 indexed citations

18.

Zhang, Dongxu, Boliang Zhang, Xiaoman Pan, et al.. (2016). Bitext Name Tagging for Cross-lingual Entity Annotation Projection. International Conference on Computational Linguistics. 461–470. 7 indexed citations

19.

Li, Haibo, Masato Hagiwara, Qi Li, & Heng Ji. (2014). Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese. Language Resources and Evaluation. 2532–2536. 40 indexed citations

20.

Ji, Heng. (2000). Studies for hibernant habitat and hibernant habit of Paederus fuscipes Curtis. 3 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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