Jun Ji

8 papers receiving 726 citations

Jun Ji's Hit Papers

How Quickly Do Systematic Reviews Go Out of Date? A Survival Analysis 2007 · 590 citations
5900+6+12Years since publication100200300400500

Peers

Jun Ji
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 205
  • Geochemistry and Petrology 27
  • Public Health, Environmental and Occupational Health 114
  • General Health Professions 92
  • Health Informatics 4
Replace David Maher with:
David Maher United Kingdom
Susan Buchanan United States
Kris Thayer United States
M. J. Gardner United Kingdom
Theodore Holford United States
Tsung Yu Taiwan
Emma Bartfay Canada
Andrew Toren Canada
Mónica Pérez‐Ríos Spain
D. G. Altman United Kingdom
Jun Ji relative to David Maher United Kingdom David Maher's profile →
Citations per field
00.5×2×3×3.5×
David Maher · 1×
Citations per year

Countries citing papers authored by Jun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Ji Line = papers co-authored together Jun Ji links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
How Quickly Do Systematic Reviews Go Out of Date? A Survival Analysis
Hit paper breakdown →
2007590
2 200866
3
The preliminary study on chemical characteristics of precipitation at Mt. Waliguan
200058
4
Updating Systematic Reviews
200729
5 20207
6 20233
7 20231
8 20141
9 20250
10 20230
11 20250
12 20250

About Jun Ji

Jun Ji is a scholar working on Statistics, Probability and Uncertainty, Pharmacy, Surgery, Civil and Structural Engineering and General Health Professions, having authored 12 papers that have together received 755 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Medical Malpractice and Liability Issues (2 papers), Water resources management and optimization (1 paper), Hydrology and Watershed Management Studies (1 paper), Hydraulic flow and structures (1 paper), Groundwater and Isotope Geochemistry (1 paper), Water Quality Monitoring and Analysis (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (205 citations), Geochemistry and Petrology (27 citations), Public Health, Environmental and Occupational Health (114 citations), General Health Professions (92 citations) and Health Informatics (4 citations). Jun Ji has collaborated with scholars based in Canada, South Korea and United Kingdom. Frequent co-authors include David Moher, Mohammed T Ansari, Margaret Sampson, Kaveh G Shojania, Steve Doucette, Tamara Rader, Jie Tang, Xiaolan Yu, Xiaochun Zhang and Hongbing Cheng. Their work appears in journals such as Canadian Journal of Emergency Medicine, Journal of Clinical Epidemiology, Annals of Internal Medicine, Journal of Cutaneous Medicine and Surgery and Journal of the Association of Medical Microbiology and Infectious Disease Canada.

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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