Zhenglu Yang

5.1k total citations · 1 hit paper
82 papers, 3.1k citations indexed

About

Zhenglu Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhenglu Yang has authored 82 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 27 papers in Information Systems and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhenglu Yang's work include Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Advanced Graph Neural Networks (11 papers). Zhenglu Yang is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Advanced Graph Neural Networks (11 papers). Zhenglu Yang collaborates with scholars based in China, Japan and Australia. Zhenglu Yang's co-authors include Peizhi Wu, Le Huang, Yanbin Yin, Sarah Entwistle, Han Zhang, Ying Xu, Peter Kamp Busk, Masaru Kitsuregawa, Jun Wang and Jinmao Wei and has published in prestigious journals such as Nucleic Acids Research, IEEE Access and Neurocomputing.

In The Last Decade

Zhenglu Yang

78 papers receiving 3.0k 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.

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation

2018 1.6k citations Han Zhang, Le Huang et al. Nucleic Acids Research profile →

Peers

Zhenglu Yang

MB

AI

PS

ECOLO

BIOTE

Han Zhang China

Panu Somervuo Finland

Peter Braun Germany

Francis Y. L. Chin Hong Kong

Yuanxing Zhang China

Ramón Doallo Spain

Siu‐Ming Yiu Hong Kong

Jin Hee Yoon South Korea

Yifeng Li China

Simon Kasif United States

Han Zhang China

Zhenglu Yang

1.8k ×1.6

MB

557 ×0.8

AI

756 ×1.4

PS

606 ×1.1

ECOLO

343 ×1.1

BIOTE

Citations per year, relative to Zhenglu Yang Zhenglu Yang (= 1×) peers Han Zhang

Countries citing papers authored by Zhenglu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhenglu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenglu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenglu Yang. A scholar is included among the top collaborators of Zhenglu Yang 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 Zhenglu Yang. Zhenglu Yang 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.

Liu, Yong‐Jin, et al.. (2025). Embodied Interactive Intelligence Towards Autonomous Driving. Engineering.

2.

Yang, Zhenglu. (2025). Wireless sensor network security encryption based on AES module optimization design. Journal of Computational Methods in Sciences and Engineering. 25(1). 766–778. 1 indexed citations

3.

Zhang, Zhengkun, Wenya Guo, Yasheng Wang, et al.. (2023). HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. 11442–11453. 5 indexed citations

4.

Li, Peiyao, Zhengkun Zhang, Jun Wang, et al.. (2023). ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization. 2458–2472. 3 indexed citations

5.

Zhang, Xianfeng, Yanhui Gu, Guandong Xu, et al.. (2023). HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16384–16385.

6.

Zhang, Zhengkun, et al.. (2022). Generating news image captions with semantic discourse extraction and contrastive style-coherent learning. Computers & Electrical Engineering. 104. 108429–108429. 5 indexed citations

7.

Sun, Zhe, et al.. (2021). Tensor completion algorithms for estimating missing values in multi-channel audio signals. Computers & Electrical Engineering. 97. 107561–107561. 1 indexed citations

8.

Shen, Wei, et al.. (2021). Deep convolutional recurrent model for region recommendation with spatial and temporal contexts. Ad Hoc Networks. 129. 102545–102545. 8 indexed citations

9.

Han, Yuqiang, Qian Li, Yang Xiao, et al.. (2021). Multiple interleaving interests modeling of sequential user behaviors in e-commerce platform. World Wide Web. 24(4). 1121–1146. 2 indexed citations

10.

Wang, Jun, et al.. (2020). An Effective Multi-Label Feature Selection Model Towards Eliminating Noisy Features. Applied Sciences. 10(22). 8093–8093. 2 indexed citations

11.

Wu, Xingxing, et al.. (2020). TRFR: A ternary relation link prediction framework on Knowledge graphs. Ad Hoc Networks. 113. 102402–102402. 11 indexed citations

12.

Zhang, Shijie, Yukun He, Huanhuan Liu, et al.. (2019). regBase: whole genome base-wise aggregation and functional prediction for human non-coding regulatory variants. Nucleic Acids Research. 47(21). e134–e134. 33 indexed citations

13.

Li, Qian, Ziwei Li, Jinmao Wei, et al.. (2018). A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task. International Conference on Computational Linguistics. 1754–1762. 14 indexed citations

14.

Huang, Le, Han Zhang, Peizhi Wu, et al.. (2017). dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Nucleic Acids Research. 46(D1). D516–D521. 218 indexed citations

15.

Yang, Zhenglu & Masaru Kitsuregawa. (2011). Efficient searching top-k semantic similar words. International Joint Conference on Artificial Intelligence. 2373–2378. 4 indexed citations

16.

Yang, Zhenglu, et al.. (2009). Rank optimization of personalized search. Journal of information processing. 4(3). 666–671. 2 indexed citations

17.

Yang, Zhenglu, et al.. (2008). Query-URL bipartite based approach to personalized query recommendation. National Conference on Artificial Intelligence. 1189–1194. 27 indexed citations

18.

Yang, Zhenglu, Lin Li, & Masaru Kitsuregawa. (2008). Efficient querying relaxed dominant relationship between product items based on rank aggregation. National Conference on Artificial Intelligence. 1261–1266. 2 indexed citations

19.

Li, Lin, Zhenglu Yang, & Masaru Kitsuregawa. (2007). Aggregating user-centered rankings to improve web search. National Conference on Artificial Intelligence. 1884–1885. 1 indexed citations

20.

Yang, Zhenglu & Mitsuru Ishizuka. (2004). MPML-FLASH: a multimodal presentation markup language with character agent control in Flash medium. 202–207. 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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