Hang Li

6.0k total citations · 1 hit paper
83 papers, 3.3k citations indexed

About

Hang Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hang Li has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 48 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hang Li's work include Topic Modeling (22 papers), Information Retrieval and Search Behavior (22 papers) and Web Data Mining and Analysis (18 papers). Hang Li is often cited by papers focused on Topic Modeling (22 papers), Information Retrieval and Search Behavior (22 papers) and Web Data Mining and Analysis (18 papers). Hang Li collaborates with scholars based in China, United States and United Kingdom. Hang Li's co-authors include Zhengdong Lu, Jiatao Gu, Victor O. K. Li, Jun Xu, Tie‐Yan Liu, Tao Qin, Daxin Jiang, Jian Pei, Kenji Yamanishi and Yunbo Cao and has published in prestigious journals such as PLoS ONE, Computers & Education and Personality and Individual Differences.

In The Last Decade

Hang Li

81 papers receiving 3.1k citations

Hit Papers

Incorporating Copying Mechanism in Sequence-to-Sequence L... 2016 2026 2019 2022 2016 250 500 750
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.

  1. Incorporating Copying Mechanism in Sequence-to-Sequence Learning
    2016 789 citations Jiatao Gu, Zhengdong Lu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Li China 29 2.3k 1.3k 651 225 213 83 3.3k
Hugo Zaragoza United Kingdom 22 2.6k 1.1× 1.8k 1.4× 585 0.9× 339 1.5× 255 1.2× 52 3.4k
Prem Melville United States 21 1.7k 0.8× 1.0k 0.8× 531 0.8× 166 0.7× 211 1.0× 40 2.7k
Ian Soboroff United States 30 2.1k 0.9× 2.0k 1.5× 309 0.5× 219 1.0× 265 1.2× 113 3.0k
Djoerd Hiemstra Netherlands 24 1.3k 0.6× 1.3k 1.0× 368 0.6× 290 1.3× 117 0.5× 161 2.2k
Rosie Jones United States 26 1.8k 0.8× 1.7k 1.3× 331 0.5× 438 1.9× 243 1.1× 62 3.1k
Jade Goldstein United States 15 2.0k 0.9× 1.0k 0.8× 559 0.9× 314 1.4× 212 1.0× 22 2.9k
Falk Scholer Australia 24 1.3k 0.6× 1.3k 1.0× 345 0.5× 336 1.5× 215 1.0× 153 2.3k
Jaap Kamps Netherlands 22 1.8k 0.8× 1.2k 0.9× 287 0.4× 197 0.9× 254 1.2× 209 2.6k
Yi Tay Singapore 26 2.1k 0.9× 954 0.7× 680 1.0× 152 0.7× 249 1.2× 71 3.0k

Countries citing papers authored by Hang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Li. A scholar is included among the top collaborators of Hang Li 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 Hang Li. Hang Li 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
1.
2.
Li, Hang, et al.. (2024). Proximity-induced ferromagnetism of platinum thin film on magnetic insulating CrI3 nanoflakes. Applied Surface Science. 680. 161394–161394. 1 indexed citations
3.
Chen, Dongyang, Qi Wang, Xiaojing Qin, et al.. (2023). The deficient cue monitoring and the facilitating effect of prosocial intention on prospective memory in patients with schizophrenia spectrum disorders. Schizophrenia. 9(1). 33–33. 1 indexed citations
4.
Li, Weihua, et al.. (2022). Knowledge‐aware representation learning for diagnosis prediction. Expert Systems. 40(3). 4 indexed citations
5.
Feng, Lin, et al.. (2021). Double cross-modality progressively guided network for RGB-D salient object detection. Image and Vision Computing. 117. 104351–104351. 8 indexed citations
6.
Li, Hang, et al.. (2020). The Impact of Self-Efficacy Analysis-Based Psychological Theory and Literary Ethics on Chinese American Entrepreneurship Education. Frontiers in Psychology. 11. 1870–1870. 8 indexed citations
7.
Li, Hang, Wenbiao Ding, Songfan Yang, & Zitao Liu. (2020). Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.. Educational Data Mining. 1 indexed citations
8.
Li, Hang, et al.. (2020). Investigation and Analysis of 108 Cases of Home Isolated Patients With Mild COVID-19. Disaster Medicine and Public Health Preparedness. 15(6). e8–e11. 5 indexed citations
9.
Xu, Jun, Xiangnan He, & Hang Li. (2019). Deep Learning for Matching in Search and Recommendation. 832–833. 14 indexed citations
10.
Li, Hang. (2018). Construction of EFL Writing Self-efficacy Scale for Chinese College Students. 36(12). 70. 3 indexed citations
11.
12.
Gu, Jiatao, Zhengdong Lu, Hang Li, & Victor O. K. Li. (2016). Incorporating Copying Mechanism in Sequence-to-Sequence Learning. 1631–1640. 789 indexed citations breakdown →
13.
Tu, Zhaopeng, Zhengdong Lu, Yang Liu, Xiaohua Liu, & Hang Li. (2016). Coverage-based Neural Machine Translation.. arXiv (Cornell University). 37 indexed citations
14.
Tan, Jun-Wen, Adriano de Oliveira Andrade, Hang Li, et al.. (2016). Recognition of Intensive Valence and Arousal Affective States via Facial Electromyographic Activity in Young and Senior Adults. PLoS ONE. 11(1). e0146691–e0146691. 22 indexed citations
15.
Wang, Mingxuan, Zhengdong Lu, Hang Li, & Qun Liu. (2015). Syntax-based deep matching of short texts. arXiv (Cornell University). 1354–1361. 26 indexed citations
16.
Li, Hang & Jun Xu. (2014). Semantic Matching in Search. 7(5). 343–469. 102 indexed citations
17.
Chen, Tianqi, Hang Li, Qiang Yang, & Yong Yu. (2013). General Functional Matrix Factorization Using Gradient Boosting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 28. 436–444. 28 indexed citations
18.
Li, Hang. (2013). College Students' EFL Writing Anxiety and Self-efficacy and their prediction on Students' Writing Performance. 3 indexed citations
19.
Gao, Bin, et al.. (2006). Detecting Link Spam Using Temporal Information. 1049–1053. 35 indexed citations
20.
Cao, Yunbo, Jingjing Liu, Shenghua Bao, & Hang Li. (2005). Research on Expert Search at Enterprise Track of TREC 2005.. Text REtrieval Conference. 68 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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