Taoying Li

969 total citations · 1 hit paper
54 papers, 683 citations indexed

About

Taoying Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Taoying Li has authored 54 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Taoying Li's work include Advanced Clustering Algorithms Research (9 papers), Data Management and Algorithms (8 papers) and Machine Learning in Bioinformatics (6 papers). Taoying Li is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Data Management and Algorithms (8 papers) and Machine Learning in Bioinformatics (6 papers). Taoying Li collaborates with scholars based in China. Taoying Li's co-authors include Miao Hua, Xu Wu, Yan Wang, Yan Chen, Cangzhi Jia, Yan Chen, Jinsong Zhang, Qing Yang, Zebin Wu and Yan Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and Molecules.

In The Last Decade

Taoying Li

51 papers receiving 648 citations

Hit Papers

A Hybrid CNN-LSTM Model for Forecasting Particulate Matte... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. A Hybrid CNN-LSTM Model for Forecasting Particulate Matter (PM2.5)
    2020 287 citations Taoying Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taoying Li China 13 195 167 132 85 83 54 683
Shaofu Lin China 12 166 0.9× 213 1.3× 105 0.8× 55 0.6× 62 0.7× 73 774
Xinying Xu China 15 125 0.6× 240 1.4× 93 0.7× 81 1.0× 57 0.7× 71 697
Roberto Corizzo United States 18 159 0.8× 446 2.7× 102 0.8× 178 2.1× 76 0.9× 64 990
Jin Fan China 18 119 0.6× 175 1.0× 151 1.1× 107 1.3× 40 0.5× 72 807
Pengfei Li China 20 130 0.7× 167 1.0× 276 2.1× 37 0.4× 44 0.5× 76 1.1k
Dimitris Margaritis United States 15 74 0.4× 357 2.1× 55 0.4× 114 1.3× 185 2.2× 37 858
Guang Shi China 17 113 0.6× 110 0.7× 268 2.0× 70 0.8× 67 0.8× 44 1.0k
Chao Xiang China 15 126 0.6× 216 1.3× 74 0.6× 37 0.4× 71 0.9× 75 1.2k
Xianneng Li China 16 219 1.1× 272 1.6× 211 1.6× 49 0.6× 50 0.6× 57 883
Koji Zettsu Japan 14 227 1.2× 230 1.4× 164 1.2× 71 0.8× 83 1.0× 131 1.0k

Countries citing papers authored by Taoying Li

Since Specialization
Citations

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

Fields of papers citing papers by Taoying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taoying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Taoying Li. A scholar is included among the top collaborators of Taoying Li 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 Taoying Li. Taoying Li 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.
Li, Taoying, et al.. (2025). DSTAnet: A Trajectory Distribution-Aware Spatio-Temporal Attention Network for Vehicle Trajectory Prediction. IEEE Transactions on Vehicular Technology. 74(7). 10187–10197. 4 indexed citations
2.
Li, Taoying, et al.. (2024). Integrated Scheduling of Handling Equipment in Automated Container Terminal Considering Quay Crane Faults. Systems. 12(11). 450–450. 1 indexed citations
3.
Li, Tieshan, et al.. (2023). Ship detection in haze and low-light remote sensing images via colour balance and DCNN. Applied Ocean Research. 139. 103702–103702. 14 indexed citations
4.
Li, Taoying, Xutong Li, Bo Ren, & Ge Guo. (2023). An Effective Multi-Scale Framework for Driver Behavior Recognition With Incomplete Skeletons. IEEE Transactions on Vehicular Technology. 73(1). 295–309. 7 indexed citations
5.
Li, Taoying, et al.. (2021). Highway Traffic Flow Prediction Model with Multi-features. Journal of Transportation Systems Engineering and Information Technology. 21(3). 101. 2 indexed citations
6.
Zhang, Jinsong, et al.. (2021). PM2.5 Concentration Prediction Based on CNN-BiLSTM and Attention Mechanism. Algorithms. 14(7). 208–208. 24 indexed citations
7.
Li, Taoying, et al.. (2021). GW-DC: A Deep Clustering Model Leveraging Two-Dimensional Image Transformation and Enhancement. Algorithms. 14(12). 349–349. 3 indexed citations
8.
Li, Taoying, et al.. (2019). Identification of S-nitrosylation sites based on multiple features combination. Scientific Reports. 9(1). 3098–3098. 10 indexed citations
9.
Li, Taoying, et al.. (2019). Multidimensional scaling method for prediction of lysine glycation sites. Computing. 101(6). 705–724. 4 indexed citations
10.
Yang, Qing, Cangzhi Jia, & Taoying Li. (2019). Prediction of aptamer–protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifier. Mathematical Biosciences. 311. 103–108. 24 indexed citations
11.
Zhang, Jinsong, Xue Yang, Xuan Hu, & Taoying Li. (2019). Author Cooperation Network in Biology and Chemistry Literature during 2014–2018: Construction and Structural Characteristics. Information. 10(7). 236–236. 4 indexed citations
12.
Li, Taoying, et al.. (2019). Combined Recommendation Algorithm Based on Improved Similarity and Forgetting Curve. Information. 10(4). 130–130. 17 indexed citations
13.
Li, Tao, Yan Chen, Taoying Li, & Cangzhi Jia. (2018). Recognition of Protein Pupylation Sites by Adopting Resampling Approach. Molecules. 23(12). 3097–3097. 4 indexed citations
14.
Li, Tao, Yan Chen, & Taoying Li. (2018). Pricing Strategies of Logistics Distribution Services for Perishable Commodities. Algorithms. 11(11). 186–186. 5 indexed citations
15.
Li, Taoying, et al.. (2018). Support Vector Machine Classifier for Accurate Identification of piRNA. Applied Sciences. 8(11). 2204–2204. 16 indexed citations
16.
Chen, Yan, et al.. (2014). Mobile healthcare research based on Jade Agent and Android platform. 139. 723–726. 1 indexed citations
17.
Li, Taoying, et al.. (2010). Incremental clustering for categorical data using clustering ensemble. Chinese Control Conference. 2519–2524. 1 indexed citations
18.
Chen, Yan, et al.. (2009). Topological features of liner shipping network. Journal of Dalian Maritime University. 34–37. 6 indexed citations
19.
Yang, Ming, Yan Chen, & Taoying Li. (2009). Application Research of Road Passenger Transport Volume Forecasting Using Regression Methods. 42. 277–280. 1 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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