Taifeng Li

417 citations
46 papers · 302 · h-index 11

Impact in

Papers in

Taifeng Li

40 papers receiving 301 citations

Peers

Taifeng Li
Comparison fields: 5 of 78
  • Civil and Structural Engineering 81
  • General Engineering 4
  • Geology 18
  • Industrial and Manufacturing Engineering 21
  • Computer Vision and Pattern Recognition 41
Replace Fuliang He with:
Fuliang He China
Almir Karabegović Bosnia and Herzegovina
Wenxue Zhang China
Li Tan China
Xueqian Zhou China
Chuan Xu China
Yanfei Su China
Hee Seok Lee South Korea
Weiwei Du Japan
Taifeng Li relative to Fuliang He China Fuliang He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Taifeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Taifeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taifeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taifeng Li Line = papers co-authored together Taifeng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201629
2 202223
3 202322
4 202021
5 201719
6 202218
7 201817
8 201714
9 201713
10 202412
11 202311
12 20249
13 20239
14 20238
15 20238
16 20237
17 20217
18 20236
19 20235
20 20205

About Taifeng Li

Taifeng Li is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 46 papers that have together received 302 indexed citations. Recurring topics across this work include Grouting, Rheology, and Soil Mechanics (8 papers), Asphalt Pavement Performance Evaluation (7 papers), Railway Engineering and Dynamics (7 papers), Rock Mechanics and Modeling (6 papers), Geotechnical Engineering and Analysis (5 papers), Geotechnical Engineering and Underground Structures (5 papers), Robotics and Sensor-Based Localization (5 papers) and Drilling and Well Engineering (4 papers). The work is most often cited by research in Civil and Structural Engineering (81 citations), General Engineering (4 citations), Geology (18 citations), Industrial and Manufacturing Engineering (21 citations) and Computer Vision and Pattern Recognition (41 citations). Taifeng Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Liang Gao, Quan-Ke Pan, Kang Xie, Peigen Li, Xiaobin Chen, Peigen Li, Qianli Zhang, Lin Huang, Chunyu Li and Bo Cao. Their work appears in journals such as Construction and Building Materials, Case Studies in Construction Materials, Results in Engineering, Sustainability and Biomedicine & Pharmacotherapy.

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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