Feng Tian

3.7k total citations · 1 hit paper
179 papers, 2.4k citations indexed

About

Feng Tian is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Feng Tian has authored 179 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 48 papers in Information Systems and 33 papers in Computer Networks and Communications. Recurrent topics in Feng Tian's work include Recommender Systems and Techniques (16 papers), Topic Modeling (13 papers) and Online Learning and Analytics (12 papers). Feng Tian is often cited by papers focused on Recommender Systems and Techniques (16 papers), Topic Modeling (13 papers) and Online Learning and Analytics (12 papers). Feng Tian collaborates with scholars based in China, United States and United Kingdom. Feng Tian's 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 and has published in prestigious journals such as Journal of Molecular Biology, Carbon and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Feng Tian

159 papers receiving 2.3k citations

Hit Papers

1 papers align trajectories

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.

Effect of lateral stress and loading paths on direct shear strength and fracture of granite under true triaxial stress state by a self-developed device

2025 20 citations Feng Tian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Tian China	23	649	560	444	371	368	179	2.4k
M. Sohel Rahman Bangladesh	24	184 0.3×	1.1k 2.0×	176 0.4×	212 0.6×	14 0.0×	196	3.7k
Georges Grinstein United States	27	275 0.4×	704 1.3×	157 0.4×	121 0.3×	8 0.0×	116	2.7k
Feng Wang China	31	325 0.5×	1.3k 2.3×	671 1.5×	246 0.7×	6 0.0×	167	3.8k
Ramón Sangüesa Spain	9	718 1.1×	2.3k 4.1×	403 0.9×	312 0.8×	7 0.0×	19	4.2k
Jing Yuan China	23	259 0.4×	300 0.5×	389 0.9×	60 0.2×	8 0.0×	96	2.3k
Chen Wang China	30	931 1.4×	769 1.4×	926 2.1×	102 0.3×	6 0.0×	243	2.8k
Karl Kumbier United States	6	205 0.3×	1.9k 3.3×	268 0.6×	106 0.3×	10 0.0×	13	3.1k
Colin G. Johnson United Kingdom	20	211 0.3×	665 1.2×	67 0.2×	169 0.5×	7 0.0×	114	1.5k
Gavin Brown United Kingdom	21	271 0.4×	1.5k 2.6×	184 0.4×	163 0.4×	11 0.0×	65	2.7k
Roy Schwartz United States	23	195 0.3×	1.1k 2.0×	109 0.2×	33 0.1×	24 0.1×	93	2.5k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Yan, et al.. (2025). Lightweight expression recognition combined attention fusion network with hybrid knowledge distillation for occluded e-learner facial images. Neurocomputing. 628. 129656–129656. 1 indexed citations

2.

Wang, Huina, et al.. (2025). Improved Mixture Cure Model Using Machine Learning Approaches. Mathematics. 13(4). 557–557.

3.

Huang, Zhiquan, Wubian Tian, Jianming Wang, et al.. (2024). Planification of amorphous carbon coatings via periodically transitional sp2/sp3 bonds to enhance cavitation erosion resistance. Carbon. 230. 119641–119641. 3 indexed citations

4.

Li, Huafeng, et al.. (2024). Image denoising method of HV insulator damage based on U-Net neural network. Physical Communication. 65. 102367–102367.

5.

Tian, Feng, et al.. (2024). Investigation of Cu-doped amorphous carbon film in improving corrosion resistance and interfacial conductivity of proton exchange membrane fuel cell. Surface and Coatings Technology. 485. 130926–130926. 2 indexed citations

6.

Wu, Yaqiang, et al.. (2024). Programming knowledge tracing based on heterogeneous graph representation. Knowledge-Based Systems. 300. 112161–112161. 1 indexed citations

7.

Tan, Zhen, et al.. (2023). Contrastive Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. 13(4). 469–488. 2 indexed citations

8.

Tian, Feng, et al.. (2023). New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intelligent Systems. 38(4). 21–31. 6 indexed citations

9.

Zhan, Liangtong, et al.. (2023). An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test. Computers and Geotechnics. 155. 105207–105207. 13 indexed citations

10.

Tian, Feng, et al.. (2023). A Diffusion Weighted Graph Framework for New Intent Discovery. 8033–8042. 2 indexed citations

11.

Tian, Feng, et al.. (2023). DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. 12292–12302. 2 indexed citations

12.

Tian, Feng, et al.. (2022). DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification. IEEE Access. 10. 64638–64649. 6 indexed citations

13.

Tian, Feng, et al.. (2022). Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. 1314–1323. 6 indexed citations

14.

Tian, Feng, et al.. (2016). A Flight Management System of Unmanned Aerial Vehicles. 34(4). 111. 1 indexed citations

15.

Li, Longzhuang, et al.. (2016). A Framework for Ontology-Based Top-K Global Schema Generation. 6(1). 31–53. 4 indexed citations

16.

Zheng, Qinghua, Rui Li, Xiuqi Li, et al.. (2015). Virtual machine consolidated placement based on multi-objective biogeography-based optimization. Future Generation Computer Systems. 54. 95–122. 124 indexed citations

17.

Wang, Chuanyun, et al.. (2014). A Survey on Multi-path Routing Protocols in Wireless Multimedia Sensor Networks. Indonesian Journal of Electrical Engineering and Computer Science. 12(9). 6978–6983. 3 indexed citations

18.

Tian, Feng, Yundai Chen, Lian Chen, et al.. (2013). Evaluation of neointimal coverage in patients with coronary artery aneurysm formation after drug-eluting stent implantation by optical coherence tomography. Chinese Medical Journal. 126(11). 2092–2097. 1 indexed citations

19.

Tian, Feng, et al.. (2012). A fault diagnosis algorithm of artificial immune network model based on neighborhood rough set theory. 621–627. 3 indexed citations

20.

Tian, Feng & Zuren Feng. (2012). Coordinating navigation of multi-wheelchairs in indoor environments with wireless visual sensor network. 1–6. 1 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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