Xiaoran Shi

780 total citations
39 papers, 528 citations indexed

About

Xiaoran Shi is a scholar working on Strategy and Management, Management Information Systems and Computational Mechanics. According to data from OpenAlex, Xiaoran Shi has authored 39 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Strategy and Management, 11 papers in Management Information Systems and 7 papers in Computational Mechanics. Recurrent topics in Xiaoran Shi's work include Sustainable Supply Chain Management (9 papers), Advanced Numerical Analysis Techniques (7 papers) and Supply Chain and Inventory Management (6 papers). Xiaoran Shi is often cited by papers focused on Sustainable Supply Chain Management (9 papers), Advanced Numerical Analysis Techniques (7 papers) and Supply Chain and Inventory Management (6 papers). Xiaoran Shi collaborates with scholars based in China, United States and United Kingdom. Xiaoran Shi's co-authors include N. C. P. Edirisinghe, Bogdan C. Bichescu, Nurçin Çelik, Weihua Liu, Ron Goldman, Jiahui Zhang, Falai Chen, Xiaohong Jia, Victor Shi and Weihua Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and European Journal of Operational Research.

In The Last Decade

Xiaoran Shi

37 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoran Shi China 13 230 181 88 63 62 39 528
Ran Gu China 10 184 0.8× 95 0.5× 117 1.3× 7 0.1× 50 0.8× 51 452
Sepehr Hendiani Iran 14 255 1.1× 64 0.4× 44 0.5× 5 0.1× 23 0.4× 19 514
Tang Xiao-wo China 12 292 1.3× 274 1.5× 184 2.1× 2 0.0× 55 0.9× 92 603
Elisabetta Allevi Italy 13 98 0.4× 47 0.3× 45 0.5× 8 0.1× 212 3.4× 59 598
Hui Lu China 12 184 0.8× 73 0.4× 42 0.5× 4 0.1× 12 0.2× 40 450
Wenxue Ran China 11 180 0.8× 111 0.6× 27 0.3× 2 0.0× 42 0.7× 28 593
Willem K. Klein Haneveld Netherlands 15 87 0.4× 301 1.7× 21 0.2× 11 0.2× 87 1.4× 42 861
Ximing Ruan United Kingdom 10 140 0.6× 57 0.3× 64 0.7× 4 0.1× 19 0.3× 29 378
Qinzi Xiao China 11 112 0.5× 90 0.5× 59 0.7× 7 0.1× 191 3.1× 20 728
Tao Pang United States 12 257 1.1× 185 1.0× 70 0.8× 2 0.0× 216 3.5× 45 648

Countries citing papers authored by Xiaoran Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoran Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoran Shi. A scholar is included among the top collaborators of Xiaoran Shi 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 Xiaoran Shi. Xiaoran Shi 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.
Kan, Y, et al.. (2025). Meta-analysis of long non-coding RNA expression profile in Parkinson’s disease. Brain Research. 1863. 149838–149838.
2.
Xu, Lei, Tsan‐Ming Choi, Xiaoran Shi, & Chi Zhou. (2024). Gray marketing phenomena in global supply chains: Can pricing strategies help?. Transportation Research Part E Logistics and Transportation Review. 187. 103541–103541. 3 indexed citations
3.
4.
Chen, Xiaohong, et al.. (2024). Strategy for sustainable supply chain transformation: a resource orchestration perspective. Industrial Management & Data Systems. 124(8). 2633–2662. 2 indexed citations
5.
Liu, Weihua, et al.. (2024). Logistics and supply chain management in the belt and road initiative: research opportunities and future challenges. International Journal of Logistics Research and Applications. 28(12). 1608–1641. 3 indexed citations
6.
Shi, Xiaoran, Weihua Liu, & Ming K. Lim. (2023). Supply chain resilience: new challenges and opportunities. International Journal of Logistics Research and Applications. 27(12). 2485–2512. 18 indexed citations
7.
Liu, Weihua, et al.. (2022). Supply chain innovation announcements and shareholder value under industries 4.0 and 5.0: evidence from China. Industrial Management & Data Systems. 122(8). 1909–1937. 30 indexed citations
8.
Liu, Weihua, Yanjie Liang, Ming K. Lim, Shangsong Long, & Xiaoran Shi. (2022). A theoretical framework of smart supply chain innovation for going global companies: a multi-case study from China. The International Journal of Logistics Management. 33(3). 1090–1113. 11 indexed citations
9.
Shi, Xiaoran, et al.. (2022). A trust model for consumer conversion in community-based group buying: the dual roles of group leaders. SHILAP Revista de lepidopterología. 4(2). 122–140. 10 indexed citations
10.
Shi, Xiaoran, Weihua Liu, & Jiahui Zhang. (2021). Present and future trends of supply chain management in the presence of COVID-19: a structured literature review. International Journal of Logistics Research and Applications. 26(7). 813–842. 39 indexed citations
11.
Xu, Lei, Xiaoran Shi, Peng Du, Kannan Govindan, & Zhenchao Zhang. (2018). Optimization on pricing and overconfidence problem in a duopolistic supply chain. Computers & Operations Research. 101. 162–172. 39 indexed citations
12.
Jia, Xiaohong, Xiaoran Shi, & Falai Chen. (2017). Survey on the theory and applications ofμ-bases for rational curves and surfaces. Journal of Computational and Applied Mathematics. 329. 2–23. 15 indexed citations
13.
Xu, Lei, et al.. (2016). Implication of the gray market in distribution channel management. 46. 1–6. 1 indexed citations
14.
Shi, Xiaoran & Nurçin Çelik. (2016). Relative Entropy-Based Density Selection in Particle Filtering for Load Demand Forecast. IEEE Transactions on Automation Science and Engineering. 14(2). 946–954. 7 indexed citations
15.
Shi, Xiaoran, et al.. (2014). Multi-objective agent-based modeling of single-stream recycling programs. Resources Conservation and Recycling. 92. 190–205. 17 indexed citations
16.
Shi, Xiaoran, et al.. (2013). A DDDAMS framework for real-time load dispatching in power networks. Winter Simulation Conference. 1893–1904. 4 indexed citations
17.
Shi, Xiaoran, Xuhui Wang, & Ron Goldman. (2012). Using μ-bases to implicitize rational surfaces with a pair of orthogonal directrices. Computer Aided Geometric Design. 29(7). 541–554. 9 indexed citations
18.
Çelik, Nurçin, et al.. (2012). Optimization of distributed generation penetration based on particle filtering. Winter Simulation Conference. 1–12. 1 indexed citations
19.
Çelik, Nurçin, et al.. (2012). Optimization of distributed generation penetration based on particle filtering. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 2. 1–12. 2 indexed citations
20.
Shi, Xiaoran, Xiaohong Jia, & Ron Goldman. (2012). Using a bihomogeneous resultant to find the singularities of rational space curves. Journal of Symbolic Computation. 53. 1–25. 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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