Jiaqing Liang

971 total citations
57 papers, 337 citations indexed

About

Jiaqing Liang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiaqing Liang has authored 57 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiaqing Liang's work include Topic Modeling (38 papers), Natural Language Processing Techniques (32 papers) and Semantic Web and Ontologies (13 papers). Jiaqing Liang is often cited by papers focused on Topic Modeling (38 papers), Natural Language Processing Techniques (32 papers) and Semantic Web and Ontologies (13 papers). Jiaqing Liang collaborates with scholars based in China, United States and South Korea. Jiaqing Liang's co-authors include Yanghua Xiao, Chenhao Xie, Lihan Chen, Haixun Wang, Jingping Liu, Xintao Wang, Yi Zhang, Hongyu Yu, Sihang Jiang and Seung-won Hwang and has published in prestigious journals such as Journal of Applied Physics, Artificial Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jiaqing Liang

46 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaqing Liang China 12 233 64 51 30 25 57 337
Chintan Patel United States 9 230 1.0× 112 1.8× 32 0.6× 9 0.3× 13 0.5× 28 384
Gavin Pearson United States 7 108 0.5× 43 0.7× 13 0.3× 10 0.3× 14 0.6× 25 227
Adam Pearce United States 4 143 0.6× 25 0.4× 9 0.2× 42 1.4× 21 0.8× 8 293
Xiao Ding China 10 111 0.5× 27 0.4× 10 0.2× 19 0.6× 6 0.2× 46 265
Lu Zhou United States 9 129 0.6× 29 0.5× 8 0.2× 17 0.6× 38 1.5× 27 284
Milad Moradi Austria 11 274 1.2× 44 0.7× 15 0.3× 25 0.8× 4 0.2× 17 371
Katikapalli Subramanyam Kalyan India 5 154 0.7× 16 0.3× 12 0.2× 16 0.5× 5 0.2× 6 253
Shangbin Feng United States 9 155 0.7× 123 1.9× 8 0.2× 18 0.6× 26 1.0× 30 318
Yuanhang Zhou China 9 230 1.0× 173 2.7× 30 0.6× 40 1.3× 35 1.4× 13 354

Countries citing papers authored by Jiaqing Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqing Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqing Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaqing Liang. A scholar is included among the top collaborators of Jiaqing Liang 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 Jiaqing Liang. Jiaqing Liang 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.
Wang, Xintao, Jiaqing Liang, Yifei Zhang, et al.. (2025). Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation. 969–988.
2.
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4.
Huang, Wenhao, et al.. (2024). AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation. 2371–2389. 2 indexed citations
5.
Liang, Jiaqing, et al.. (2024). Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. 2732–2741. 1 indexed citations
6.
Chen, Jiangjie, et al.. (2024). ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base. 1249–1265. 1 indexed citations
7.
Liu, Jingping, Sihang Jiang, Haiyun Jiang, et al.. (2024). CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models. 13737–13747.
8.
Li, Zhixu, et al.. (2023). HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. 3433–3443. 1 indexed citations
9.
Yang, Deqing, Jinxi Liu, Shuyu Tian, et al.. (2023). Causality-aware Concept Extraction based on Knowledge-guided Prompting. 9255–9272. 5 indexed citations
10.
Zhang, Yanli, et al.. (2023). Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study. Digital Health. 9. 589847513–589847513. 2 indexed citations
11.
Huang, Wenhao, et al.. (2023). Adaptive Ordered Information Extraction with Deep Reinforcement Learning. 13664–13678. 1 indexed citations
12.
Liang, Jiaqing, et al.. (2022). Prototypical Concept Representation. IEEE Transactions on Knowledge and Data Engineering. 1–14.
13.
Jiang, Sihang, Jingping Liu, Chao Wang, et al.. (2022). Rule mining over knowledge graphs via reinforcement learning. Knowledge-Based Systems. 242. 108371–108371. 13 indexed citations
14.
Liu, Jingping, Chao Wang, Jiaqing Liang, et al.. (2022). VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction. Artificial Intelligence. 310. 103744–103744. 10 indexed citations
15.
Liu, Juntao, Xiaoye Qu, Jiaqing Liang, et al.. (2021). HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. 2819–2831. 25 indexed citations
16.
Xie, Chenhao, et al.. (2021). Revisiting the Negative Data of Distantly Supervised Relation Extraction. 3572–3581. 15 indexed citations
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18.
Liang, Jiaqing, Yanghua Xiao, Yi Zhang, Seung-won Hwang, & Haixun Wang. (2017). Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 19 indexed citations
19.
Liang, Jiaqing, et al.. (2017). Probase+: Inferring Missing Links in Conceptual Taxonomies. IEEE Transactions on Knowledge and Data Engineering. 29(6). 1281–1295. 13 indexed citations
20.
Li, Hongping, Lin Chen, Kun Zhang, et al.. (2014). Atomic structures and electronic properties of 2H-NbSe2: The impact of Ti doping. Journal of Applied Physics. 116(10). 10 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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