Qin Lu

5.9k total citations · 2 hit papers
238 papers, 3.2k citations indexed

About

Qin Lu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Qin Lu has authored 238 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 27 papers in Information Systems and 25 papers in Molecular Biology. Recurrent topics in Qin Lu's work include Natural Language Processing Techniques (77 papers), Topic Modeling (75 papers) and Advanced Text Analysis Techniques (48 papers). Qin Lu is often cited by papers focused on Natural Language Processing Techniques (77 papers), Topic Modeling (75 papers) and Advanced Text Analysis Techniques (48 papers). Qin Lu collaborates with scholars based in Hong Kong, China and United States. Qin Lu's co-authors include Wenjie Li, Lin Gui, Ruifeng Xu, Yunfei Long, Chu‐Ren Huang, Rong Xiang, Minglei Li, Furu Wei, Ruifeng Xu and You Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Qin Lu

224 papers receiving 3.1k citations

Hit Papers

A CRISPR-Cas autocatalysis-driven feedback amplification ... 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qin Lu Hong Kong 29 1.6k 620 391 323 307 238 3.2k
Zhaoli Zhang China 40 1.1k 0.7× 475 0.8× 671 1.7× 448 1.4× 495 1.6× 186 5.7k
Bingchen Li China 21 1.0k 0.6× 696 1.1× 199 0.5× 302 0.9× 308 1.0× 79 2.6k
Mike Preuß Germany 27 2.1k 1.3× 487 0.8× 124 0.3× 240 0.7× 134 0.4× 156 3.7k
Di Jin China 33 2.3k 1.5× 414 0.7× 595 1.5× 121 0.4× 132 0.4× 228 4.0k
Frans Coenen United Kingdom 32 1.4k 0.9× 246 0.4× 866 2.2× 193 0.6× 188 0.6× 223 4.1k
Jie Bao China 29 693 0.4× 545 0.9× 521 1.3× 895 2.8× 865 2.8× 159 5.0k
Hui Lin China 30 828 0.5× 1.1k 1.8× 660 1.7× 525 1.6× 566 1.8× 122 3.2k
Tong Zhang China 28 1.3k 0.8× 656 1.1× 311 0.8× 329 1.0× 370 1.2× 182 3.5k
Natalio Krasnogor United Kingdom 39 1.8k 1.2× 2.0k 3.2× 125 0.3× 339 1.0× 197 0.6× 163 4.8k

Countries citing papers authored by Qin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Lu. A scholar is included among the top collaborators of Qin Lu 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 Qin Lu. Qin Lu 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, Zhaocai, Haifeng Zhao, Qin Lu, & Tunhua Wu. (2025). Improved non-dominated sorting genetic algorithm III for efficient of multi-objective cascade reservoirs scheduling under different hydrological conditions. Journal of Hydrology. 656. 132998–132998. 14 indexed citations
2.
Li, Yue, Yanmin Luo, Xin Liang, et al.. (2024). Running exercise improves astrocyte loss, morphological complexity and astrocyte-contacted synapses in the hippocampus of CUS-induced depression model mice. Pharmacology Biochemistry and Behavior. 239. 173750–173750. 5 indexed citations
3.
Liao, Peng, Qin Lu, Peng Zhang, et al.. (2024). A fluorescent probe with large Stokes for rapid detection of ammonia based on BINOL. Dyes and Pigments. 225. 112110–112110. 4 indexed citations
4.
Chen, Yuan, Xiaosu Wang, Qin Lu, et al.. (2023). Leak-proof probe for accurate detection of Neisseria gonorrhoeae by recombinase polymerase amplification-mediated lateral flow strip. Analytica Chimica Acta. 1258. 341176–341176. 5 indexed citations
5.
Xiang, Rong, Emmanuele Chersoni, Qin Lu, et al.. (2021). Lexical data augmentation for sentiment analysis. Journal of the Association for Information Science and Technology. 72(11). 1432–1447. 26 indexed citations
6.
Chersoni, Emmanuele, Rong Xiang, Qin Lu, & Chu‐Ren Huang. (2020). Automatic learning of modality exclusivity norms with crosslingual word embeddings. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 32–38. 4 indexed citations
7.
Xiang, Rong, Yunfei Long, Anran Li, et al.. (2020). Ciron : a new benchmark dataset for Chinese irony detection. Language Resources and Evaluation. 5714–5720. 3 indexed citations
8.
Xiang, Rong, et al.. (2019). Leveraging writing systems changes for deep learning based Chinese affective analysis. International Journal of Machine Learning and Cybernetics. 10(11). 3313–3325. 2 indexed citations
9.
Long, Yunfei, Rong Xiang, Qin Lu, Chu‐Ren Huang, & Minglei Li. (2019). Improving Attention Model Based on Cognition Grounded Data for Sentiment Analysis. IEEE Transactions on Affective Computing. 12(4). 900–912. 37 indexed citations
10.
Wei, Shen, et al.. (2018). Occupant adaptive behaviour: an effective method towards energy efficient buildings. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
11.
Li, Minglei, et al.. (2018). Phrase embedding learning based on external and internal context with compositionality constraint. Knowledge-Based Systems. 152. 107–116. 11 indexed citations
12.
Gui, Lin, et al.. (2016). Event-Driven Emotion Cause Extraction with Corpus Construction. 1639–1649. 100 indexed citations
13.
Santus, Enrico, Qin Lu, Alessandro Lenci, & Chu‐Ren Huang. (2014). Taking Antonymy Mask off in Vector Space. CINECA IRIS Institutial research information system (University of Pisa). 135–144. 13 indexed citations
14.
Xu, Jian & Qin Lu. (2013). PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses. Joint Conference on Lexical and Computational Semantics. 1. 90–95.
15.
Xu, Jian, Qin Lu, & Zhengzhong Liu. (2012). Aggregating Skip Bigrams into Key Phrase-based Vector Space Model for Web Person Disambiguation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 108–117. 2 indexed citations
16.
Lu, Qin, et al.. (2010). An improve method for Chinese core ontology construction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 24(1). 48–53. 1 indexed citations
17.
Wei, Furu, Wenjie Li, Qin Lu, & Yanxiang He. (2008). A cluster-sensitive graph model for query-oriented multi-document summarization. 446–453. 1 indexed citations
18.
Xu, Ruifeng, Qin Lu, & Sujian Li. (2006). The Design and Construction of A Chinese Collocation Bank.. Language Resources and Evaluation. 1880–1885. 2 indexed citations
19.
Xu, Ruifeng, et al.. (2004). The Construction of A Chinese Shallow Treebank. Meeting of the Association for Computational Linguistics. 94–101. 2 indexed citations
20.
Lu, Qin. (1998). Cohomological properties of the punctured mapping class groups. OhioLink ETD Center (Ohio Library and Information Network). 1 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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