Ye Li

5.3k total citations · 1 hit paper
175 papers, 3.9k citations indexed

About

Ye Li is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Ye Li has authored 175 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Civil and Structural Engineering, 49 papers in Electrical and Electronic Engineering and 27 papers in Materials Chemistry. Recurrent topics in Ye Li's work include Innovative concrete reinforcement materials (36 papers), Concrete and Cement Materials Research (33 papers) and Fire effects on concrete materials (20 papers). Ye Li is often cited by papers focused on Innovative concrete reinforcement materials (36 papers), Concrete and Cement Materials Research (33 papers) and Fire effects on concrete materials (20 papers). Ye Li collaborates with scholars based in China, Singapore and Hong Kong. Ye Li's co-authors include Qiang Cui, Kang Hai Tan, En‐Hua Yang, Tiejun Liu, Yanzhang Wang, Dong Zhang, Ao Zhou, Dujian Zou, Nicolas Pinoteau and Pierre Pimienta and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Ye Li

159 papers receiving 3.8k citations

Hit Papers

Approximate Nearest Neighbor Negative Contrastive Learnin... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Li China 32 1.8k 885 615 466 363 175 3.9k
Hongyuan Fang China 42 3.1k 1.8× 608 0.7× 497 0.8× 810 1.7× 799 2.2× 460 7.1k
Di Zhang China 39 556 0.3× 243 0.3× 175 0.3× 217 0.5× 821 2.3× 220 5.0k
Michael Angelo B. Promentilla Philippines 29 985 0.6× 503 0.6× 407 0.7× 250 0.5× 338 0.9× 182 3.0k
M. S. Liew Malaysia 37 2.1k 1.2× 2.1k 2.3× 679 1.1× 372 0.8× 158 0.4× 218 4.1k
Randolph Kirchain United States 37 478 0.3× 737 0.8× 174 0.3× 438 0.9× 1.0k 2.8× 161 5.2k
Erkan Topal Australia 30 253 0.1× 220 0.2× 176 0.3× 306 0.7× 245 0.7× 108 3.9k
Muhammad Ali Musarat Malaysia 32 1.1k 0.6× 1.3k 1.5× 567 0.9× 115 0.2× 263 0.7× 157 3.0k
Jinsoo Kim South Korea 29 179 0.1× 261 0.3× 244 0.4× 310 0.7× 757 2.1× 132 4.0k
Xiaoshan Lin Australia 34 2.2k 1.3× 1.1k 1.3× 95 0.2× 332 0.7× 140 0.4× 132 3.5k
Jatin Nathwani Canada 36 428 0.2× 255 0.3× 86 0.1× 300 0.6× 400 1.1× 121 4.3k

Countries citing papers authored by Ye Li

Since Specialization
Citations

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

Fields of papers citing papers by Ye Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Li. A scholar is included among the top collaborators of Ye 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 Ye Li. Ye 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, Ye, et al.. (2024). Microstructure-informed deep learning model for accurate prediction of multiple concrete properties. Journal of Building Engineering. 98. 111339–111339. 6 indexed citations
2.
Zhang, Bing, et al.. (2024). Effects of FRP fiber orientations on four-point bending behaviour of FRP-concrete-steel tubular beams: Experimental study and modeling. Engineering Structures. 322. 119191–119191. 9 indexed citations
4.
Li, Ye, Yan Wang, Shifeng Liu, et al.. (2024). Improvement of mechanical property of M2 high-speed steel with hetero-microstructure tailored via electron beam melting. Materials Science and Engineering A. 895. 146209–146209. 6 indexed citations
5.
Li, Ye, et al.. (2024). Strength Recovery of Thermally Damaged High-Performance Concrete during Recuring. Materials. 17(14). 3531–3531. 2 indexed citations
6.
Lyu, Hanxiong, et al.. (2023). Identification of experienced temperature in mortar and concrete using microstructural image and deep learning. Construction and Building Materials. 409. 133966–133966. 3 indexed citations
7.
Zhang, Ming, Shanshan Qin, Hanxiong Lyu, et al.. (2023). A transport-chemical-physical–mechanical model for concrete subjected to external sulfate attack and drying–wetting cycles. Engineering Fracture Mechanics. 293. 109726–109726. 18 indexed citations
8.
Zhang, Ming, et al.. (2023). Influence of seawater and sea sand on the performance of Anti-washout underwater concrete: The overlooked significance of Mg2+. Construction and Building Materials. 374. 130932–130932. 15 indexed citations
10.
Tang, Xin, et al.. (2023). Effect of tip clearance flow on pressure oscillation and vortex patterns of a high-speed centrifugal pump. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 238(3). 822–836. 3 indexed citations
11.
Zhang, Yang, et al.. (2023). Vortex structure and pressure fluctuation of a pump-turbine in pump mode using large Eddy simulation. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 237(5). 999–1013. 1 indexed citations
12.
Wei, Huinan, Tiejun Liu, Ao Zhou, Dujian Zou, & Ye Li. (2022). Toughening static and dynamic damping characteristics of ultra-high performance concrete via interfacial modulation approaches. Cement and Concrete Composites. 136. 104879–104879. 18 indexed citations
13.
Xie, Yaqin, et al.. (2022). An Improved Indoor Location Algorithm Based on Backpropagation Neural Network. Arabian Journal for Science and Engineering. 47(11). 13823–13835. 4 indexed citations
14.
Zou, Dujian, et al.. (2022). Sustainable use of recycled autoclaved aerated concrete waste as internal curing materials in ultra-high performance concrete. Journal of Cleaner Production. 373. 133910–133910. 40 indexed citations
15.
Li, Ye, Fan Tang, Dongqi Wang, & Xinping Wang. (2021). A key step for preparing highly active Mg–Co composite oxide catalysts for N2O decomposition. Catalysis Science & Technology. 11(11). 3737–3745. 7 indexed citations
16.
Xiong, Lee, Chenyan Xiong, Ye Li, et al.. (2021). Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. International Conference on Learning Representations. 235 indexed citations breakdown →
17.
Li, Ye, En‐Hua Yang, Ao Zhou, & Tiejun Liu. (2021). Pore pressure build-up and explosive spalling in concrete at elevated temperature: A review. Construction and Building Materials. 284. 122818–122818. 51 indexed citations
18.
Li, Ye & Dongxing Zhang. (2020). Multi-attribute Group Grey Target Decision-making Method Based on Three-parameter Interval Grey Number. 32(3). 96. 8 indexed citations
19.
Li, Ye, et al.. (2016). An Efficient Authentication Scheme with Privacy Preserving for Vehicular Ad-hoc Networks. Transportation Research Board 95th Annual MeetingTransportation Research Board. 2 indexed citations
20.
Li, Ye, et al.. (2016). Cognitively Optimized Measurement of Preferences. ACR North American Advances. 3 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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