Ruixun Zhang

679 total citations
48 papers, 342 citations indexed

About

Ruixun Zhang is a scholar working on Computer Vision and Pattern Recognition, Finance and Artificial Intelligence. According to data from OpenAlex, Ruixun Zhang has authored 48 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Finance and 12 papers in Artificial Intelligence. Recurrent topics in Ruixun Zhang's work include Financial Markets and Investment Strategies (9 papers), Advanced Neural Network Applications (7 papers) and Experimental Behavioral Economics Studies (6 papers). Ruixun Zhang is often cited by papers focused on Financial Markets and Investment Strategies (9 papers), Advanced Neural Network Applications (7 papers) and Experimental Behavioral Economics Studies (6 papers). Ruixun Zhang collaborates with scholars based in China, United States and Australia. Ruixun Zhang's co-authors include Andrew W. Lo, Xiuli Shao, Thomas J. Brennan, Zihao Dong, Yan Wang, Xiaolin Zheng, Xian Fang, Chunle Guo, Hong-Yu Zhou and Florian Berg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Ruixun Zhang

47 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruixun Zhang China 10 87 72 68 66 65 48 342
John M. Betts Australia 10 36 0.4× 63 0.9× 35 0.5× 35 0.5× 33 0.5× 31 406
James M. Ragusa United States 8 45 0.5× 71 1.0× 53 0.8× 158 2.4× 81 1.2× 23 316
Shaoyu Li China 9 49 0.6× 124 1.7× 23 0.3× 21 0.3× 31 0.5× 16 307
Yizhi Wang China 11 119 1.4× 43 0.6× 104 1.5× 75 1.1× 245 3.8× 44 587
Amin Mazloumian Switzerland 7 17 0.2× 40 0.6× 44 0.6× 29 0.4× 86 1.3× 8 596
Pin Ni United Kingdom 9 24 0.3× 252 3.5× 38 0.6× 93 1.4× 32 0.5× 23 405
Shayak Sen United States 7 35 0.4× 410 5.7× 31 0.5× 62 0.9× 26 0.4× 9 583
Liu Jiang China 8 132 1.5× 128 1.8× 29 0.4× 78 1.2× 30 0.5× 19 346
Sheung‐On Choy Hong Kong 8 57 0.7× 49 0.7× 16 0.2× 67 1.0× 22 0.3× 32 310
Michitaka Kosaka Japan 9 12 0.1× 66 0.9× 22 0.3× 67 1.0× 30 0.5× 62 302

Countries citing papers authored by Ruixun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ruixun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruixun Zhang. A scholar is included among the top collaborators of Ruixun Zhang 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 Ruixun Zhang. Ruixun Zhang 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
1.
Zhang, Ruixun. (2024). Toward interpretable machine learning: evaluating models of heterogeneous predictions. Annals of Operations Research. 347(2). 867–887. 3 indexed citations
2.
Lo, Andrew W. & Ruixun Zhang. (2024). The Adaptive Markets Hypothesis. 3 indexed citations
3.
Lo, Andrew W., et al.. (2024). Optimal Impact Portfolios with General Dependence and Marginals. Operations Research. 72(5). 1775–1789. 1 indexed citations
4.
Berg, Florian, et al.. (2024). Quantifying the Returns of ESG Investing: An Empirical Analysis with Six ESG Metrics. The Journal of Portfolio Management. 50(8). 216–238. 2 indexed citations
5.
Zhang, Ruixun, et al.. (2023). A Hawkes process analysis of high-frequency price endogeneity and market efficiency. European Journal of Finance. 30(9). 949–979.
6.
Jin, Xin, Ling-Hao Han, Chunle Guo, et al.. (2023). Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising. 13229–13238. 12 indexed citations
7.
Zhang, Ruixun, et al.. (2023). Interpretable image-based deep learning for price trend prediction in ETF markets. European Journal of Finance. 1–29. 5 indexed citations
8.
Lo, Andrew W. & Ruixun Zhang. (2023). Quantifying the Impact of Impact Investing. Management Science. 70(10). 7161–7186. 6 indexed citations
9.
Li, Zhen, et al.. (2022). Designing an Illumination-Aware Network for Deep Image Relighting. IEEE Transactions on Image Processing. 31. 5396–5411. 8 indexed citations
10.
Li, Zhengxin, et al.. (2022). GSDNet: An Anti-interference Cochlea Segmentation Model Based on GAN. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 27. 664–669. 1 indexed citations
11.
Davis, Randall, et al.. (2022). Explainable Machine Learning Models of Consumer Credit Risk. SSRN Electronic Journal. 8 indexed citations
12.
Lo, Andrew W., et al.. (2022). Optimal Impact Portfolios with General Dependence and Marginals. SSRN Electronic Journal. 1 indexed citations
13.
14.
Lo, Andrew W. & Ruixun Zhang. (2021). The evolutionary origin of Bayesian heuristics and finite memory. iScience. 24(8). 102853–102853. 5 indexed citations
15.
Lo, Andrew W., et al.. (2021). To maximize or randomize? An experimental study of probability matching in financial decision making. PLoS ONE. 16(8). e0252540–e0252540. 8 indexed citations
16.
17.
Lo, Andrew W. & Ruixun Zhang. (2021). Quantifying the Impact of Impact Investing. SSRN Electronic Journal. 4 indexed citations
18.
Dong, Zihao, Ruixun Zhang, Xiuli Shao, & Hong-Yu Zhou. (2019). Multi-scale Discriminative Location-Aware Network for Few-Shot Semantic Segmentation. 2. 42–47. 9 indexed citations
19.
Zhang, Ruixun, et al.. (2018). Deep and Wide Neural Networks on Multiple sets of Temporal data with Correlation. 39–43. 9 indexed citations
20.
Zhang, Ruixun, Thomas J. Brennan, & Andrew W. Lo. (2014). Group Selection as Behavioral Adaptation to Systematic Risk. PLoS ONE. 9(10). e110848–e110848. 21 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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