Teng Li

3.4k total citations · 3 hit papers
119 papers, 2.4k citations indexed

About

Teng Li is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Teng Li has authored 119 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 24 papers in Aerospace Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Teng Li's work include Distributed and Parallel Computing Systems (10 papers), Robotics and Sensor-Based Localization (10 papers) and Cloud Computing and Resource Management (8 papers). Teng Li is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Robotics and Sensor-Based Localization (10 papers) and Cloud Computing and Resource Management (8 papers). Teng Li collaborates with scholars based in China, Canada and United States. Teng Li's co-authors include Clarence W. de Silva, Min Xia, Lin Xu, Lizhi Liu, Tongxin Shu, Jiafu Wan, Zhongren Wang, Wenjun Zhang, Bingbing Ni and Minghao Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Teng Li

106 papers receiving 2.3k citations

Hit Papers

Fault Diagnosis for Rotat... 2017 2026 2020 2023 2017 2018 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teng Li China 24 870 583 475 435 349 119 2.4k
Changan Zhu China 28 847 1.0× 805 1.4× 783 1.6× 292 0.7× 366 1.0× 122 2.8k
Jianhua Liu China 24 370 0.4× 541 0.9× 368 0.8× 313 0.7× 160 0.5× 178 2.2k
Jiankai Xue China 10 793 0.9× 392 0.7× 540 1.1× 1.2k 2.7× 221 0.6× 18 3.6k
Guo Xie China 23 1.4k 1.6× 479 0.8× 186 0.4× 481 1.1× 145 0.4× 157 2.5k
Olga Fink Switzerland 27 1.5k 1.7× 566 1.0× 303 0.6× 801 1.8× 266 0.8× 105 3.2k
Changzhi Wu China 30 391 0.4× 326 0.6× 153 0.3× 407 0.9× 380 1.1× 133 2.7k
Xinhua Yang China 15 757 0.9× 644 1.1× 155 0.3× 397 0.9× 404 1.2× 108 2.1k
Lin Li China 27 563 0.6× 268 0.5× 288 0.6× 531 1.2× 187 0.5× 202 2.3k

Countries citing papers authored by Teng Li

Since Specialization
Citations

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

Fields of papers citing papers by Teng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Li. A scholar is included among the top collaborators of Teng 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 Teng Li. Teng 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.
Wang, Xinqi, Xinqi Wang, Le Zou, et al.. (2025). Domain Adaptation via Feature Disentanglement for cross-domain image classification. Applied Soft Computing. 172. 112868–112868.
2.
Liu, Huanhuan, Teng Li, Yang Li, et al.. (2025). Dynamic percolation networks engineered low Curie temperature PTC composites for self-adaptive thermal management. Science China Materials. 68(12). 4460–4470.
3.
Yao, Wei, et al.. (2025). Large Eddy Simulation of Kerosene Spray Characteristics in Lean Direction Injection Combustor. Combustion Science and Technology. 198(5). 1352–1378.
4.
Liu, Shupeng, et al.. (2025). Global-local uncertainty-driven planning of robotic active sampling for multivariate Gaussian field estimation. Measurement Science and Technology. 36(11). 116209–116209.
5.
Li, Teng, et al.. (2024). CoDetect: cooperative anomaly detection with privacy protection towards UAV swarm. Science China Information Sciences. 67(5).
7.
Li, Bo, et al.. (2023). Transport of pollutants in groundwater of domestic waste landfills in karst regions and its engineering control technologies. Journal of Environmental Management. 347. 119245–119245. 12 indexed citations
8.
Li, Teng, Hyo‐Sang Shin, & Antonios Tsourdos. (2021). A sample decreasing threshold greedy-based algorithm for big data summarisation. Journal Of Big Data. 8(1).
9.
Li, Teng, Chaoqun Wang, Max Q.‐H. Meng, & Clarence W. de Silva. (2021). Attention-Driven Active Sensing With Hybrid Neural Network for Environmental Field Mapping. IEEE Transactions on Automation Science and Engineering. 19(3). 2135–2152. 11 indexed citations
10.
Li, Teng, et al.. (2021). Attention-Based Sequence-to-Sequence Learning for Online Structural Response Forecasting Under Seismic Excitation. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2184–2200. 34 indexed citations
11.
Chen, Jiahong, Teng Li, Jing Wang, & Clarence W. de Silva. (2020). WSN Sampling Optimization for Signal Reconstruction Using Spatiotemporal Autoencoder. IEEE Sensors Journal. 20(23). 14290–14301. 15 indexed citations
12.
Li, Teng, et al.. (2019). Information-Based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping. IEEE Systems Journal. 14(2). 1692–1703. 3 indexed citations
13.
Chen, Jiahong, Tongxin Shu, Teng Li, & Clarence W. de Silva. (2019). Deep Reinforced Learning Tree for Spatiotemporal Monitoring With Mobile Robotic Wireless Sensor Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 50(11). 4197–4211. 24 indexed citations
14.
Wang, Chaoqun, Delong Zhu, Teng Li, Max Q.‐H. Meng, & Clarence W. de Silva. (2019). Efficient Autonomous Robotic Exploration With Semantic Road Map in Indoor Environments. IEEE Robotics and Automation Letters. 4(3). 2989–2996. 46 indexed citations
15.
Jin, Weiliang, et al.. (2018). Effect of Concrete Inner Environment on Hydrogen Evolution of Rebar During ElectrochemicalRemediation. Zhongguo fushi yu fanghu xuebao. 38(5). 463–470. 2 indexed citations
16.
Xia, Min, Teng Li, Tongxin Shu, et al.. (2018). A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks. IEEE Transactions on Industrial Informatics. 15(6). 3703–3711. 241 indexed citations breakdown →
17.
Li, Teng, Weiliang Jin, Xu Chen, & Jianghong Mao. (2017). Determination of Steady Critical Current Density of Hydrogen Evolution During Electrochemical Repair Process of Reinforced Concrete. Zhongguo fushi yu fanghu xuebao. 37(4). 382–388. 2 indexed citations
18.
Li, Teng. (2012). Derwent Manual Code Co-Occurrence: A Practical Method in Patent Map. Science of Science and Management of S.& T. 3 indexed citations
19.
Woo, Jihwan, et al.. (2007). Vision-based UAV Navigation in Mountain Area. Machine Vision and Applications. 236–239. 16 indexed citations
20.
Li, Teng, et al.. (2005). Eco-budget-A Model of Urban Environmental Management. Ecological Economy. 1(4). 13–17.

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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