Feng Tian

159 papers receiving 2.3k citations

Hit Papers

Effect of lateral stress and loading paths on direct shea...2025202620255101520

Peers

Feng Tian
Comparison fields: 5 of 152
  • Information Systems 649
  • Artificial Intelligence 560
  • Computer Networks and Communications 444
  • Computational Theory and Mathematics 371
  • Pediatrics, Perinatology and Child Health 368
Replace Feng Wang with:
Feng Wang China
Ramón Sangüesa Spain
Rick Siow Mong Goh Singapore
Georges Grinstein United States
Chen Wang China
Anna Monreale Italy
Qing Liu China
Colin G. Johnson United Kingdom
Franco Turini Italy
Karl Kumbier United States
Feng Tian relative to Feng Wang China Feng Wang's profile →
Citations per field
00.5×20×40×61.3×
Feng Wang · 1×
Citations per year

Countries citing papers authored by Feng Tian

Since Specialization
Citations

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

Fields of papers citing papers by Feng Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tian. A scholar is included among the top collaborators of Feng Tian 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 Feng Tian. Feng Tian 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
#WorkIndexed citations
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Effect of lateral stress and loading paths on direct shear strength and fracture of granite under true triaxial stress state by a self-developed devicebreakdown →
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3 0
4 3
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6 2
7 1
8 0
9 8
10 1
11 33
12 2
13 13
14 2
15 2
16 47
17 6
18 4
19 6
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Coordinating navigation of multi-wheelchairs in indoor environments with wireless visual sensor network
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About Feng Tian

Feng Tian is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence, having authored 179 papers that have together received 2.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Topic Modeling (13 papers) and Online Learning and Analytics (12 papers). The work is most often cited by research in Computer Science Applications (205 citations), Industrial and Manufacturing Engineering (290 citations) and Information Systems (649 citations). Feng Tian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qinghua Zheng, Keyi Xing, Kuo‐Ming Chao, Huixia Liu, Deepayan Bhowmik, Nazaraf Shah, Bo Dong, David S. Cram, MengChu Zhou and Feng Wang. Their work appears in journals such as Journal of Molecular Biology, Carbon and IEEE Transactions on Geoscience and Remote Sensing.

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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