Weiming Feng

494 total citations
18 papers, 273 citations indexed

About

Weiming Feng is a scholar working on Artificial Intelligence, Statistics and Probability and Mechanics of Materials. According to data from OpenAlex, Weiming Feng has authored 18 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 4 papers in Mechanics of Materials. Recurrent topics in Weiming Feng's work include Markov Chains and Monte Carlo Methods (9 papers), Bayesian Modeling and Causal Inference (4 papers) and Aluminum Alloy Microstructure Properties (3 papers). Weiming Feng is often cited by papers focused on Markov Chains and Monte Carlo Methods (9 papers), Bayesian Modeling and Causal Inference (4 papers) and Aluminum Alloy Microstructure Properties (3 papers). Weiming Feng collaborates with scholars based in China, United States and United Kingdom. Weiming Feng's co-authors include Kunok Chang, Long‐Qing Chen, Yitong Yin, Qingyan Xu, Baicheng Liu, Heng Guo, Yuxin Sun, Xiulong Chen, Nisheeth K. Vishnoi and Yu Deng and has published in prestigious journals such as Acta Materialia, SIAM Journal on Computing and Journal of Material Science and Technology.

In The Last Decade

Weiming Feng

18 papers receiving 262 citations

Peers

Weiming Feng
R. J. Debski Poland
Xiaoguang Han China
Natalia Ryłko Poland
Tielong Shen China
Yun Feng China
Coleman Alleman United States
A. Hamel France
R. J. Debski Poland
Weiming Feng
Citations per year, relative to Weiming Feng Weiming Feng (= 1×) peers R. J. Debski

Countries citing papers authored by Weiming Feng

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Feng. A scholar is included among the top collaborators of Weiming Feng 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 Weiming Feng. Weiming Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chen, Xiaoyu, Weiming Feng, Yitong Yin, & Xinyuan Zhang. (2024). Rapid Mixing of Glauber Dynamics via Spectral Independence for All Degrees. SIAM Journal on Computing. FOCS21–224. 1 indexed citations
2.
Feng, Weiming, Heng Guo, & Yitong Yin. (2022). Perfect sampling from spatial mixing. Random Structures and Algorithms. 61(4). 678–709. 5 indexed citations
3.
Feng, Weiming, et al.. (2022). Rapid Mixing from Spectral Independence beyond the Boolean Domain. ACM Transactions on Algorithms. 18(3). 1–32. 4 indexed citations
4.
Feng, Weiming, Nisheeth K. Vishnoi, & Yitong Yin. (2021). Dynamic Sampling from Graphical Models. SIAM Journal on Computing. 50(2). 350–381. 1 indexed citations
5.
Feng, Weiming, et al.. (2021). Sampling constraint satisfaction solutions in the local lemma regime. The HKU Scholars Hub (University of Hong Kong). 1565–1578. 6 indexed citations
6.
Feng, Weiming, et al.. (2020). Fast sampling and counting 𝑘-SAT solutions in the local lemma regime. The HKU Scholars Hub (University of Hong Kong). 854–867. 4 indexed citations
7.
Feng, Weiming, Nisheeth K. Vishnoi, & Yitong Yin. (2019). Dynamic sampling from graphical models. The HKU Scholars Hub (University of Hong Kong). 1070–1081. 5 indexed citations
8.
Feng, Weiming, et al.. (2018). Local Rejection Sampling with Soft Filters.. arXiv (Cornell University). 1 indexed citations
9.
Feng, Weiming & Yitong Yin. (2018). On Local Distributed Sampling and Counting. The HKU Scholars Hub (University of Hong Kong). 4 indexed citations
10.
Feng, Weiming, Yuxin Sun, & Yitong Yin. (2018). What can be sampled locally?. Distributed Computing. 33(3-4). 227–253. 2 indexed citations
11.
Feng, Weiming, Yuxin Sun, & Yitong Yin. (2017). What Can be Sampled Locally?. The HKU Scholars Hub (University of Hong Kong). 121–130. 7 indexed citations
12.
Chen, Xiulong, et al.. (2014). Workspace and statics analysis of 4-UPS-UPU parallel coordinate measuring machine. Measurement. 55. 402–407. 7 indexed citations
13.
Chen, Xiulong, et al.. (2013). Kinematics Analysis of a Parallel Coordinate Measuring Machine. International Journal of Advanced Robotic Systems. 10(4). 2 indexed citations
14.
Feng, Weiming, et al.. (2009). 3D Stochastic Modeling of Grain Structure for Aluminum Alloy Casting. Journal of Material Science and Technology. 19(5). 391–394. 2 indexed citations
15.
Feng, Weiming. (2009). Phase-field models of microstructure evolution and new numerical strategies. 1 indexed citations
16.
Chang, Kunok, Weiming Feng, & Long‐Qing Chen. (2009). Effect of second-phase particle morphology on grain growth kinetics. Acta Materialia. 57(17). 5229–5236. 200 indexed citations
17.
Xu, Qingyan, Weiming Feng, & Bo Liu. (2003). Stochastic modeling of dendritic microstructure of aluminum alloy. International Journal of Cast Metals Research. 15(3). 225–230. 4 indexed citations
18.
Feng, Weiming, Qingyan Xu, & Baicheng Liu. (2002). Microstructure Simulation of Aluminum Alloy Using Parallel Computing Technique.. ISIJ International. 42(7). 702–707. 17 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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Breakdown of academic impact, for papers by R. J. Debski Breakdown of academic impact, for papers by Xiaoguang Han Breakdown of academic impact, for papers by Natalia Ryłko Breakdown of academic impact, for papers by Tielong Shen Breakdown of academic impact, for papers by Yun Feng Breakdown of academic impact, for papers by Coleman Alleman Breakdown of academic impact, for papers by A. Hamel
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2026