Jingyu He

540 total citations
34 papers, 220 citations indexed

About

Jingyu He is a scholar working on Computer Vision and Pattern Recognition, Finance and Artificial Intelligence. According to data from OpenAlex, Jingyu He has authored 34 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Finance and 6 papers in Artificial Intelligence. Recurrent topics in Jingyu He's work include Financial Markets and Investment Strategies (6 papers), Image Retrieval and Classification Techniques (6 papers) and Statistical Methods and Inference (5 papers). Jingyu He is often cited by papers focused on Financial Markets and Investment Strategies (6 papers), Image Retrieval and Classification Techniques (6 papers) and Statistical Methods and Inference (5 papers). Jingyu He collaborates with scholars based in China, Hong Kong and United States. Jingyu He's co-authors include A.C. Downton, J.H. Kim, P. Richard Hahn, Guanhao Feng, Hedibert F. Lopes, Nicholas G. Polson, Lin William Cong, Paul Bogdan, Shahin Nazarian and Kwang‐Ting Cheng and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Financial Economics and Journal of Financial and Quantitative Analysis.

In The Last Decade

Jingyu He

28 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyu He China 7 106 39 35 30 30 34 220
Lujun Li China 7 41 0.4× 12 0.3× 5 0.1× 51 1.7× 35 1.2× 15 126
Kristen Ann Woyach United States 9 35 0.3× 4 0.1× 36 1.0× 34 1.1× 12 0.4× 16 381
Sagie Benaim Israel 7 71 0.7× 62 1.6× 10 0.3× 87 2.9× 2 0.1× 12 214
Shengli Shi China 10 36 0.3× 30 0.8× 27 0.8× 24 0.8× 4 0.1× 30 304
Suryoday Basak United States 5 16 0.2× 85 2.2× 3 0.1× 38 1.3× 212 7.1× 6 296
Michael Vogt Germany 10 10 0.1× 71 1.8× 33 1.1× 77 2.6× 33 292
Yu. S. Kharin Belarus 9 26 0.2× 45 1.2× 65 2.2× 13 0.4× 53 223
Yawen Zeng China 10 222 2.1× 8 0.2× 5 0.1× 107 3.6× 14 0.5× 23 287
Chih-Yuan Yang Taiwan 7 340 3.2× 12 0.3× 180 5.1× 12 0.4× 1 0.0× 9 408

Countries citing papers authored by Jingyu He

Since Specialization
Citations

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

Fields of papers citing papers by Jingyu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyu He

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyu He. A scholar is included among the top collaborators of Jingyu He 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 Jingyu He. Jingyu He 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.
Cong, Lin William, et al.. (2025). Growing the efficient frontier on panel trees. Journal of Financial Economics. 167. 104024–104024. 4 indexed citations
2.
3.
Zhang, Liying, et al.. (2025). Multidimensional Adaptive Deep Clustering for Intelligent Diagenetic Facies Logging Recognition. SPE Journal. 30(4). 1614–1628.
4.
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Tian, Fengshi, Jingyu He, Jinbo Chen, et al.. (2024). BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. PolyPublie (École Polytechnique de Montréal). 1–5. 2 indexed citations
7.
Tian, Fengshi, Jinbo Chen, Jingyu He, et al.. (2024). BioPI: An Energy Efficient and Low-Latency Neuromorphic Pipelined System With Joint Design Optimizations of Sensor-Algorithm-Processor for Wearable Healthcare. PolyPublie (École Polytechnique de Montréal). 2(1). 64–78. 1 indexed citations
8.
Wang, Zishen, Chuan Chen, Jingyu He, et al.. (2023). Interplay of the charge density wave transition with topological and superconducting properties. Nanoscale Horizons. 8(10). 1395–1402. 4 indexed citations
9.
Tian, Fengshi, Shiqi Zhao, Jingyu He, et al.. (2023). NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 1 indexed citations
10.
Cong, Lin William, Guanhao Feng, Jingyu He, & Junye Li. (2023). Sparse Modeling Under Grouped Heterogeneity with an Application to Asset Pricing. SSRN Electronic Journal.
11.
Feng, Guanhao, et al.. (2023). Deep Learning in Characteristics-Sorted Factor Models. Journal of Financial and Quantitative Analysis. 59(7). 3001–3036. 17 indexed citations
12.
Cong, Lin William, et al.. (2023). Asset Pricing with Panel Tree Under Global Split Criteria. SSRN Electronic Journal. 3 indexed citations
13.
He, Jingyu, Li Chen, & Guo Wei. (2021). Waveform Design for Dual-functional Radar and Communication Design Based on Conditional MI. 2021 7th International Conference on Computer and Communications (ICCC). 1026–1030.
14.
Cong, Lin William, et al.. (2021). Asset Pricing with Panel Trees Under Global Split Criteria. SSRN Electronic Journal. 3 indexed citations
15.
Feng, Guanhao & Jingyu He. (2019). Factor Investing: Hierarchical Ensemble Learning. arXiv (Cornell University). 1 indexed citations
16.
He, Jingyu, et al.. (2019). XBART: Accelerated Bayesian Additive Regression Trees. International Conference on Artificial Intelligence and Statistics. 1130–1138. 2 indexed citations
17.
Deng, Cheng, Jingyu He, & Andrés Escobar Mejía. (2019). A Passive Component Integration Device of LCC-Compensated Inductive Power Transfer System. 1. 1088–1093. 1 indexed citations
18.
He, Jingyu, et al.. (2018). Accelerated Bayesian Additive Regression Trees.. arXiv (Cornell University). 2 indexed citations
19.
Hahn, P. Richard, Jingyu He, & Hedibert F. Lopes. (2018). Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors. Journal of Computational and Graphical Statistics. 28(1). 142–154. 19 indexed citations
20.
He, Jingyu, et al.. (2006). User-configurable OCR enhancement for online natural history archives. International Journal on Document Analysis and Recognition (IJDAR). 9(2-4). 263–279. 2 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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