Limeng Pu

651 total citations
27 papers, 419 citations indexed

About

Limeng Pu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Limeng Pu has authored 27 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Limeng Pu's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (5 papers). Limeng Pu is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (5 papers). Limeng Pu collaborates with scholars based in United States, Canada and China. Limeng Pu's co-authors include Hsiao‐Chun Wu, Michał Bryliński, Supratik Mukhopadhyay, Tairan Liu, Misagh Naderi, J. Ramanujam, Rajiv Gandhi Govindaraj, Jin‐Woo Choi, Wentao Shi and Weidong Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Limeng Pu

25 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Limeng Pu United States 12 215 211 65 54 38 27 419
Ziheng Hu United States 9 191 0.9× 157 0.7× 61 0.9× 18 0.3× 35 0.9× 16 465
Francisco Cedrón Spain 5 146 0.7× 190 0.9× 52 0.8× 26 0.5× 53 1.4× 18 384
Qiujie Lv China 14 266 1.2× 275 1.3× 148 2.3× 37 0.7× 99 2.6× 23 543
Ruihan Yang China 9 335 1.6× 344 1.6× 126 1.9× 62 1.1× 49 1.3× 31 610
Qurrat Ul Ain New Zealand 10 305 1.4× 308 1.5× 113 1.7× 65 1.2× 76 2.0× 28 584
Ch. Madhu Babu India 5 196 0.9× 224 1.1× 84 1.3× 26 0.5× 56 1.5× 15 446
Marcos Gestal Spain 13 131 0.6× 91 0.4× 25 0.4× 45 0.8× 59 1.6× 40 402
Nereida Rodríguez-Fernández Spain 7 128 0.6× 175 0.8× 46 0.7× 23 0.4× 49 1.3× 15 517
Elyas Sabeti United States 8 227 1.1× 258 1.2× 78 1.2× 42 0.8× 66 1.7× 16 424

Countries citing papers authored by Limeng Pu

Since Specialization
Citations

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

Fields of papers citing papers by Limeng Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limeng Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Limeng Pu. A scholar is included among the top collaborators of Limeng Pu 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 Limeng Pu. Limeng Pu 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.
Pu, Limeng, et al.. (2024). Machine Learning Techniques to Infer Protein Structure and Function from Sequences: A Comprehensive Review. Methods in molecular biology. 2867. 79–104.
2.
Pu, Limeng, Brent Stanfield, Paul J. F. Rider, et al.. (2023). Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer. Cancers. 15(16). 4050–4050. 20 indexed citations
3.
Pu, Limeng, et al.. (2022). An integrated network representation of multiple cancer-specific data for graph-based machine learning. npj Systems Biology and Applications. 8(1). 14–14. 6 indexed citations
4.
Shi, Wentao, et al.. (2022). Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design. Frontiers in Pharmacology. 13. 837715–837715. 16 indexed citations
5.
Liu, Guannan, et al.. (2022). Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother. IEEE Systems Journal. 16(4). 6253–6264. 11 indexed citations
6.
Pu, Limeng, Brent Stanfield, Paul J. F. Rider, et al.. (2022). Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors. BMC Cancer. 22(1). 1211–1211. 10 indexed citations
7.
Liu, Guannan, et al.. (2021). GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data. Journal of Cheminformatics. 13(1). 58–58. 17 indexed citations
8.
Liu, Guannan, Hsiao‐Chun Wu, Weidong Xiang, et al.. (2020). Indoor Object Localization and Tracking Using Deep Learning over Received Signal Strength. Civil War Book Review. 1–6. 2 indexed citations
9.
Shi, Wentao, et al.. (2020). BionoiNet: ligand-binding site classification with off-the-shelf deep neural network. Bioinformatics. 36(10). 3077–3083. 13 indexed citations
10.
Pu, Limeng, et al.. (2020). APPLICATION OF MULTI-FACETED FUNCTION MODEL BASED ON VONDRAK FILTER OPTIMIZATION IN UAV AERIAL IMAGE HEIGHT CORRECTION. SHILAP Revista de lepidopterología. XLII-3/W10. 1313–1317. 1 indexed citations
11.
Pu, Limeng, et al.. (2020). RESEARCH ON SEMANTIC MAP GENERATION AND LOCATION INTELLIGENT RECOGNITION METHOD FOR SCENIC SPOT SPACE PERCEPTION. SHILAP Revista de lepidopterología. XLII-3/W10. 431–435. 1 indexed citations
12.
Pu, Limeng, et al.. (2019). DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network. PLoS Computational Biology. 15(2). e1006718–e1006718. 86 indexed citations
13.
Pu, Limeng, Hsiao‐Chun Wu, Chiapin Wang, et al.. (2019). Novel Fast User-Placement Ushering Algorithms and Performance Analysis for LTE Femtocell Networks. IEEE Transactions on Cognitive Communications and Networking. 6(1). 381–393.
14.
Pu, Limeng, Hsiao‐Chun Wu, Kun Yan, et al.. (2019). Novel Three-Hierarchy Multiple-Tag-Recognition Technique for Next Generation RFID Systems. IEEE Transactions on Wireless Communications. 19(2). 1237–1249. 11 indexed citations
15.
Tian, Rui, Limeng Pu, Hsiao‐Chun Wu, & Yiyan Wu. (2018). Novel Automatic Human-Height Measurement Using a Digital Camera. Civil War Book Review. 1–4. 2 indexed citations
16.
Pu, Limeng, et al.. (2017). Novel tailoring algorithm for abrupt motion artifact removal in photoplethysmogram signals. Biomedical Engineering Letters. 7(4). 299–304. 11 indexed citations
17.
Pu, Limeng, Hsiao‐Chun Wu, & Kun Yan. (2017). Novel Hierarchical Tag-Recognition for RFID Systems. Civil War Book Review. 7. 1–6. 1 indexed citations
18.
Pu, Limeng, Hsiao‐Chun Wu, Chiapin Wang, et al.. (2016). Novel Fast User-Placement Ushering Algorithms for Indoor Femtocell Networks. Civil War Book Review. 1. 1–6. 1 indexed citations
19.
Tian, Rui, Limeng Pu, Hsiao‐Chun Wu, & Yiyan Wu. (2016). Novel automatic size measurement method using a digital camera. Civil War Book Review. 1–6. 1 indexed citations
20.
Pu, Limeng, Rui Tian, Hsiao‐Chun Wu, & Kun Yan. (2016). Novel object-size measurement using the digital camera. Civil War Book Review. 543–548. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ziheng Hu Breakdown of academic impact, for papers by Francisco Cedrón Breakdown of academic impact, for papers by Qiujie Lv Breakdown of academic impact, for papers by Ruihan Yang Breakdown of academic impact, for papers by Qurrat Ul Ain Breakdown of academic impact, for papers by Ch. Madhu Babu Breakdown of academic impact, for papers by Marcos Gestal Breakdown of academic impact, for papers by Nereida Rodríguez-Fernández Breakdown of academic impact, for papers by Elyas Sabeti
Rankless by CCL
2026