Ran Ji

666 citations
49 papers · 397 · h-index 13

Impact in

Papers in

Ran Ji

39 papers receiving 387 citations

Peers

Ran Ji
Comparison fields: 5 of 103
  • Management Science and Operations Research 133
  • Finance 38
  • Statistics, Probability and Uncertainty 26
  • Industrial and Manufacturing Engineering 36
  • Organizational Behavior and Human Resource Management 35
Replace Ina S. Markham with:
Ina S. Markham United States
Mohammad Ilbeigi United States
Bruno Urli Canada
İpek Deveci Kocakoç Türkiye
Pavel Anselmo Álvarez Carrillo Mexico
Kim Fung Lam Hong Kong
Jan Stoklasa Czechia
Jônatas Araújo de Almeida Brazil
Mike Chun‐Kit Lam Hong Kong
Terry A. Bresnick United States
Ran Ji relative to Ina S. Markham United States Ina S. Markham's profile →
Citations per field
00.5×10×15×20×24.8×
Ina S. Markham · 1×
Citations per year

Countries citing papers authored by Ran Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ran Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ran Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Ji Line = papers co-authored together Ran Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202255
2 202054
3 202024
4 202120
5 201520
6 202319
7 202418
8 202117
9 202316
10 202015
11 201814
12 202412
13 201612
14 202311
15 202310
16
PSME4 Activates mTOR Signaling and Promotes the Malignant Progression of Hepatocellular Carcinoma
20228
17 20218
18 20238
19 20197
20 20167

About Ran Ji

Ran Ji is a scholar working on Management Science and Operations Research, Finance, Control and Systems Engineering, Organizational Behavior and Human Resource Management and Physiology, having authored 49 papers that have together received 397 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (13 papers), Facility Location and Emergency Management (5 papers), Pain Mechanisms and Treatments (5 papers), Optimization and Mathematical Programming (5 papers), Stochastic processes and financial applications (4 papers), Financial Markets and Investment Strategies (4 papers), Flood Risk Assessment and Management (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Management Science and Operations Research (133 citations), Finance (38 citations), Statistics, Probability and Uncertainty (26 citations), Industrial and Manufacturing Engineering (36 citations) and Organizational Behavior and Human Resource Management (35 citations). Ran Ji has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Miguel A. Lejeune, Kuo Tian, Yu Li, Kuo‐Chu Chang, Xi Chen, Hongxing Zhang, Bardia Kamrad, Dong Li, Zhijie Dong and Lingzhen Song. Their work appears in journals such as International Journal of Surgery, Annals of Operations Research, Sustainability, Computers & Industrial Engineering and Frontiers in Pharmacology.

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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