Hengyang Lu

409 total citations
32 papers, 239 citations indexed

About

Hengyang Lu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Hengyang Lu has authored 32 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Hengyang Lu's work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (11 papers) and Text and Document Classification Technologies (7 papers). Hengyang Lu is often cited by papers focused on Topic Modeling (12 papers), Advanced Text Analysis Techniques (11 papers) and Text and Document Classification Technologies (7 papers). Hengyang Lu collaborates with scholars based in China, United Kingdom and United States. Hengyang Lu's co-authors include Wei Fang, Chongjun Wang, Junyuan Xie, Badrinath Roysam, Navin Varadarajan, Hien Van Nguyen, Aryan Mobiny, Jerry Chun‐Wei Lin, Kang Ning and Jun Yang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hengyang Lu

28 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hengyang Lu China 10 150 42 29 27 22 32 239
Grigory Begelman Israel 6 188 1.3× 139 3.3× 53 1.8× 112 4.1× 11 0.5× 9 349
Enoch Peserico Italy 8 128 0.9× 22 0.5× 25 0.9× 33 1.2× 8 0.4× 35 266
Chunjie Wang China 4 185 1.2× 43 1.0× 40 1.4× 69 2.6× 5 0.2× 11 296
Yueying He China 8 180 1.2× 71 1.7× 24 0.8× 59 2.2× 20 0.9× 34 295
Nishchol Mishra India 10 98 0.7× 101 2.4× 20 0.7× 146 5.4× 17 0.8× 38 317
David Alvarez-Melis United States 5 300 2.0× 21 0.5× 16 0.6× 77 2.9× 12 0.5× 8 360
Aurelle Tchagna Kouanou Cameroon 10 78 0.5× 32 0.8× 86 3.0× 61 2.3× 3 0.1× 19 296
Guandong Xu Australia 9 158 1.1× 129 3.1× 20 0.7× 47 1.7× 24 1.1× 37 276
Zhuoren Jiang China 12 302 2.0× 98 2.3× 34 1.2× 189 7.0× 16 0.7× 56 521

Countries citing papers authored by Hengyang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hengyang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengyang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hengyang Lu. A scholar is included among the top collaborators of Hengyang 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 Hengyang Lu. Hengyang 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.
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Lu, Hengyang, et al.. (2025). Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives. Knowledge-Based Systems. 310. 113009–113009.
3.
Su, Chen, et al.. (2025). Rumor detection for emergency events via few-shot ensembled prompt learning. Journal of Intelligent Information Systems. 63(4). 1391–1422.
4.
Palade, Vasile, et al.. (2025). Diversity-based adaptive differential evolution algorithm for multimodal optimization problems. Swarm and Evolutionary Computation. 93. 101869–101869. 3 indexed citations
5.
Lu, Hengyang, Rui Cong, Wei Nie, Tianci Liu, & Wei Fang. (2024). A novel span-based Knowledge-enhanced framework for aspect sentiment triplet extraction. Neurocomputing. 619. 129145–129145. 1 indexed citations
6.
Palade, Vasile, et al.. (2024). Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems. Expert Systems with Applications. 261. 125496–125496. 7 indexed citations
7.
Lu, Hengyang, Tianci Liu, Rui Cong, et al.. (2024). QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. Information Processing & Management. 62(1). 103917–103917. 11 indexed citations
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Fang, Wei, Haipeng Jiang, Hengyang Lu, et al.. (2023). GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Transactions on Knowledge and Data Engineering. 1–16. 15 indexed citations
11.
Jia, Yue, Wei Fang, & Hengyang Lu. (2023). Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(6). 1–21. 1 indexed citations
12.
Fang, Wei, et al.. (2022). Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Transactions on Knowledge and Data Engineering. 1–16. 1 indexed citations
13.
Lu, Hengyang, et al.. (2022). A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technologies and Applications. 56(5). 806–824. 1 indexed citations
14.
Fang, Wei, et al.. (2022). High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Applied Soft Computing. 124. 109073–109073. 17 indexed citations
15.
Lu, Hengyang, et al.. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. Data Technologies and Applications. 55(5). 643–660. 4 indexed citations
16.
Lu, Hengyang, Jun Yang, Yi Zhang, & Zuoyong Li. (2021). Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information. IEEE Access. 9. 14918–14932. 2 indexed citations
17.
Lu, Hengyang, Jun Yang, Cong Hu, & Wei Fang. (2021). One for “All”: a unified model for fine-grained sentiment analysis under three tasks. PeerJ Computer Science. 7. e816–e816. 1 indexed citations
18.
Lu, Hengyang, et al.. (2021). A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. PeerJ Computer Science. 7. e688–e688. 21 indexed citations
19.
Du, Yuntao, Qian Chen, Hengyang Lu, & Chongjun Wang. (2018). Online Single Homogeneous Source Transfer Learning Based on AdaBoost. 7. 344–349. 3 indexed citations
20.

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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