Junyi Guo

2.1k total citations
83 papers, 1.4k citations indexed

About

Junyi Guo is a scholar working on Demography, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Junyi Guo has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Demography, 37 papers in Management Science and Operations Research and 25 papers in Economics and Econometrics. Recurrent topics in Junyi Guo's work include Insurance, Mortality, Demography, Risk Management (45 papers), Probability and Risk Models (33 papers) and Insurance and Financial Risk Management (23 papers). Junyi Guo is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (45 papers), Probability and Risk Models (33 papers) and Insurance and Financial Risk Management (23 papers). Junyi Guo collaborates with scholars based in China, United States and Hong Kong. Junyi Guo's co-authors include Lihua Bai, Kam Chuen Yuen, Zhibin Liang, C. K. Shum, Junna Bi, Zhongyang Sun, Jianbin Duan, P. M. Mathews, Xin Zhang and Jinsheng Ning and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Earth and Planetary Science Letters.

In The Last Decade

Junyi Guo

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Guo China 22 747 705 519 498 316 83 1.4k
Anthony Ledford United Kingdom 9 49 0.1× 86 0.1× 792 1.5× 474 1.0× 37 0.1× 17 1.1k
Stephen Jewson United Kingdom 17 130 0.2× 36 0.1× 139 0.3× 315 0.6× 279 0.9× 88 1.2k
D. R. Grey United Kingdom 13 20 0.0× 118 0.2× 127 0.2× 51 0.1× 15 0.0× 51 994
Janet E. Heffernan United Kingdom 11 40 0.1× 87 0.1× 646 1.2× 310 0.6× 124 0.4× 21 1.4k
Emma Eastoe United Kingdom 13 9 0.0× 24 0.0× 100 0.2× 48 0.1× 52 0.2× 26 459
Sujit Basu India 18 43 0.1× 69 0.1× 33 0.1× 10 0.0× 528 1.7× 80 811
Alec Stephenson Australia 17 20 0.0× 26 0.0× 175 0.3× 105 0.2× 73 0.2× 34 708
Robert R. King United Kingdom 20 10 0.0× 32 0.0× 145 0.3× 113 0.2× 309 1.0× 56 1.2k
Jan F. Eichner Germany 14 3 0.0× 29 0.0× 257 0.5× 667 1.3× 26 0.1× 17 1.4k
E. A. Kihn United States 11 27 0.0× 12 0.0× 6 0.0× 109 0.2× 32 0.1× 32 1.8k

Countries citing papers authored by Junyi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Junyi Guo. A scholar is included among the top collaborators of Junyi Guo 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 Junyi Guo. Junyi Guo 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.
Guo, Junyi, et al.. (2025). Exploratory mean-variance portfolio selection with Choquet regularizers. Quantitative Finance. 26(1). 63–83.
2.
Zhou, Qianqian, et al.. (2024). Central limit theorem with rate of convergence under sublinear expectations. Stochastic Processes and their Applications. 172. 104353–104353.
3.
Guo, Junyi, et al.. (2023). Characterization of Epidermal Function in Individuals with Primary Cutaneous Amyloidosis. Clinical Cosmetic and Investigational Dermatology. Volume 16. 3193–3200. 1 indexed citations
4.
Shum, C. K., Ehsan Forootan, Wei Feng, et al.. (2022). Understanding Water Level Changes in the Great Lakes by an ICA-Based Merging of Multi-Mission Altimetry Measurements. Remote Sensing. 14(20). 5194–5194. 2 indexed citations
5.
Chen, Junya, et al.. (2022). Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study. BMC Neurology. 22(1). 69–69. 4 indexed citations
6.
Encarnação, J., Pieter Visser, Daniel Arnold, et al.. (2020). Description of the multi-approach gravity field models from Swarm GPS data. Earth system science data. 12(2). 1385–1417. 42 indexed citations
7.
Guo, Junyi, et al.. (2020). Optimal mean-variance reinsurance in a financial market with stochastic rate of return. Journal of Industrial and Management Optimization. 17(4). 1887–1887. 11 indexed citations
8.
Groh, Andreas, Martin Horwath, Rakia Meister, et al.. (2019). Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results. Geosciences. 9(10). 415–415. 33 indexed citations
9.
Encarnação, J., Pieter Visser, Daniel Arnold, et al.. (2019). Multi-approach gravity field models from Swarm GPS data. 10 indexed citations
10.
Sun, Zhongyang, Kam Chuen Yuen, & Junyi Guo. (2019). A BSDE approach to a class of dependent risk model of mean–variance insurers with stochastic volatility and no-short selling. Journal of Computational and Applied Mathematics. 366. 112413–112413. 13 indexed citations
11.
Chen, Siyi, et al.. (2019). Applicability and cross-cultural validation of the Chinese version of the Warwick-Edinburgh mental well-being scale in patients with chronic heart failure. Health and Quality of Life Outcomes. 17(1). 55–55. 15 indexed citations
12.
Zehentner, Norbert, Matthias Ellmer, Torsten Mayer‐Gürr, et al.. (2018). Investigations of GNSS-derived baselines for gravity field recovery. 1 indexed citations
13.
Guo, Junyi, et al.. (2018). Clinical study of combined mirror and extracorporeal shock wave therapy on upper limb spasticity in poststroke patients. International Journal of Rehabilitation Research. 42(1). 31–35. 21 indexed citations
14.
Sun, Zhongyang, Xin Zhang, & Junyi Guo. (2017). A stochastic maximum principle for processes driven by G‐Brownian motion and applications to finance. Optimal Control Applications and Methods. 38(6). 934–948. 3 indexed citations
15.
Su, Xiaoli, C. K. Shum, Junyi Guo, et al.. (2017). High-Resolution Interannual Mass Anomalies of the Antarctic Ice Sheet by Combining GRACE Gravimetry and ENVISAT Altimetry. IEEE Transactions on Geoscience and Remote Sensing. 56(1). 539–546. 8 indexed citations
16.
Guo, Junyi, et al.. (2013). Optimal investment, consumption and timing of annuity purchase under a preference change. Journal of Mathematical Analysis and Applications. 413(2). 905–938. 4 indexed citations
17.
Shum, C. K., Chung‐Yen Kuo, & Junyi Guo. (2008). Role of Antarctic ice mass balance in present-day sea-level change. Polar Science. 2(2). 149–161. 14 indexed citations
18.
Liang, Zhibin & Junyi Guo. (2007). Upper bound for ruin probabilities under optimal investment and proportional reinsurance. Applied Stochastic Models in Business and Industry. 24(2). 109–128. 32 indexed citations
19.
Bai, Lihua & Junyi Guo. (2007). Utility maximization with partial information: Hamilton-Jacobi-Bellman equation approach. Frontiers of Mathematics in China. 2(4). 527–537. 6 indexed citations
20.
Zhang, Feipeng, Junyi Guo, & Cheng Huang. (1998). Some studies on the Chebyshev collocation method for solving ordinary differential equations.. 19. 6–15. 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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