Fei Sha

19.0k total citations · 5 hit papers
218 papers, 9.0k citations indexed

About

Fei Sha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Fei Sha has authored 218 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 52 papers in Computer Vision and Pattern Recognition and 49 papers in Civil and Structural Engineering. Recurrent topics in Fei Sha's work include Grouting, Rheology, and Soil Mechanics (29 papers), Domain Adaptation and Few-Shot Learning (29 papers) and Microbial Applications in Construction Materials (23 papers). Fei Sha is often cited by papers focused on Grouting, Rheology, and Soil Mechanics (29 papers), Domain Adaptation and Few-Shot Learning (29 papers) and Microbial Applications in Construction Materials (23 papers). Fei Sha collaborates with scholars based in China, United States and United Kingdom. Fei Sha's co-authors include Kristen Grauman, Boqing Gong, Fernando Pereira, Yuan Shi, Lawrence K. Saul, Kilian Q. Weinberger, Hexiang Hu, Han-Jia Ye, De‐Chuan Zhan and Michael I. Jordan and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fei Sha

200 papers receiving 8.5k citations

Hit Papers

5 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.

Geodesic flow kernel for unsupervised domain adaptation

2012 1.5k citations Boqing Gong, Fei Sha et al. profile →
Shallow parsing with conditional random fields

2003 847 citations Fei Sha et al. profile →
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions

2020 451 citations Fei Sha et al. profile →
Marginalized Denoising Autoencoders for Domain Adaptation

2012 344 citations Minmin Chen, Kilian Q. Weinberger et al. arXiv (Cornell University) profile →
WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

2024 82 citations Fei Sha et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Sha China	42	4.9k	3.6k	892	791	588	218	9.0k
Vinod Nair India	14	3.2k 0.7×	3.9k 1.1×	316 0.4×	962 1.2×	754 1.3×	23	9.8k
Shifei Ding China	45	4.1k 0.8×	2.4k 0.7×	331 0.4×	640 0.8×	948 1.6×	288	7.8k
Mehdi Mirza Canada	5	3.1k 0.6×	3.9k 1.1×	303 0.3×	719 0.9×	514 0.9×	5	9.2k
Christian Igel Denmark	36	3.6k 0.7×	2.5k 0.7×	398 0.4×	519 0.7×	517 0.9×	162	7.7k
Xavier Glorot Canada	7	4.7k 1.0×	3.9k 1.1×	241 0.3×	987 1.2×	756 1.3×	7	10.3k
Jianfei Cai Singapore	49	3.4k 0.7×	7.0k 1.9×	433 0.5×	999 1.3×	1.3k 2.2×	309	13.3k
Sherjil Ozair United States	6	2.7k 0.6×	3.5k 1.0×	296 0.3×	628 0.8×	504 0.9×	7	8.5k
Simon Osindero United Kingdom	13	5.0k 1.0×	4.3k 1.2×	293 0.3×	1.6k 2.1×	1.1k 1.9×	27	12.0k
Yee‐Whye Teh Singapore	7	4.7k 1.0×	4.0k 1.1×	292 0.3×	1.6k 2.0×	1.1k 1.9×	7	11.5k

Countries citing papers authored by Fei Sha

Since Specialization

Citations

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

Fields of papers citing papers by Fei Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Sha. A scholar is included among the top collaborators of Fei Sha 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 Fei Sha. Fei Sha 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

Sha, Fei, et al.. (2025). Study on novel alkali-activated cementitious grout for scour control of offshore foundation. Geomechanics for Energy and the Environment. 42. 100663–100663. 10 indexed citations

Yang, Kiho, et al.. (2025). Application of synchronous grouting materials in water-rich sandy mudstone interlayers. Results in Engineering. 27. 106635–106635.

Fan, Guoxi, et al.. (2025). Coupled effect of drying-wetting cycle and sustained load on chloride ion transport behavior of waterborne polyurethane-modified concrete. Construction and Building Materials. 476. 141223–141223.

Sha, Fei, et al.. (2025). A review on the key factors influencing the stability of shield tunneling. KSCE Journal of Civil Engineering. 29(11). 100266–100266.

Sha, Fei, et al.. (2024). A review on plumes generation and evolution mechanism during deep-sea polymetallic nodules mining. Ocean Engineering. 298. 117188–117188. 13 indexed citations

Sha, Fei, et al.. (2024). Penetration grouting diffusion and strengthening mechanism of sand layer with crucial grout. Journal of Building Engineering. 91. 109585–109585. 13 indexed citations

Sha, Fei, et al.. (2024). Mechanical performance and pore characteristics of pervious concrete. Case Studies in Construction Materials. 21. e03674–e03674. 13 indexed citations

Sha, Fei, et al.. (2024). An investigation on traction for deep-sea mining vehicle considering the interference effect between adjacent grousers. Ocean Engineering. 318. 120174–120174.

Fan, Guoxi, et al.. (2024). Construction and optimization of spatial network structure of waterborne polyurethane modified concrete. Construction and Building Materials. 458. 139611–139611. 2 indexed citations

10.

Wang, Wei, Ningning Wang, Quanfeng Wang, et al.. (2024). Research and implementation of eco-grouting material derived from shield tunneling muck. Case Studies in Construction Materials. 21. e03852–e03852. 8 indexed citations

11.

Sha, Fei, et al.. (2023). A recent review on multi-physics coupling between deep-sea mining equipment and marine sediment. Ocean Engineering. 276. 114229–114229. 47 indexed citations

12.

Sun, Huadong, Laixue Pang, Yongling Ding, et al.. (2023). Influence of the physical morphological characteristics of mineral fillers on the bitumen-filler interfacial interaction. Construction and Building Materials. 378. 131206–131206. 10 indexed citations

13.

Qiu, Linlu, Peter Shaw, Panupong Pasupat, et al.. (2022). Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. 9157–9179. 15 indexed citations

14.

Iqbal, Shariq, et al.. (2020). AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. arXiv (Cornell University). 6 indexed citations

15.

Sha, Fei, et al.. (2018). Robust Active Label Correction.. Research at the University of Copenhagen (University of Copenhagen). 308–316. 11 indexed citations

16.

Chen, Minmin, Kilian Q. Weinberger, Fei Sha, & Yoshua Bengio. (2014). Marginalized Denoising Auto-encoders for Nonlinear Representations. International Conference on Machine Learning. 1476–1484. 72 indexed citations

17.

Gong, Boqing, Wei‐Lun Chao, Kristen Grauman, & Fei Sha. (2014). Diverse Sequential Subset Selection for Supervised Video Summarization. Neural Information Processing Systems. 27. 2069–2077. 215 indexed citations

18.

Gong, Boqing, Kristen Grauman, & Fei Sha. (2013). Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. International Conference on Machine Learning. 222–230. 277 indexed citations

19.

Changpinyo, Soravit, Kuan Liu, & Fei Sha. (2013). Similarity Component Analysis. Neural Information Processing Systems. 26. 1511–1519. 17 indexed citations

20.

Taylor, Matthew E., Brian Kulis, & Fei Sha. (2011). Metric learning for reinforcement learning agents. Adaptive Agents and Multi-Agents Systems. 777–784. 13 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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