Na Geng

2.4k citations
97 papers · 1.6k · h-index 21

Impact in

Papers in

Na Geng

92 papers receiving 1.6k citations

Peers

Na Geng
Comparison fields: 5 of 151
  • Emergency Medical Services 335
  • Industrial and Manufacturing Engineering 378
  • Management Information Systems 245
  • Emergency Medicine 131
  • Management Science and Operations Research 163
Replace Vili Podgorelec with:
Vili Podgorelec Slovenia
Ali Ala China
Sarah S. Lam United States
Gerald W. Evans United States
Jiheng Zhang China
Jiacun Wang United States
Xiaodan Wu China
Alper Murat United States
Boyi Xu China
Russell E. King United States
Na Geng relative to Vili Podgorelec Slovenia Vili Podgorelec's profile →
Citations per field
00.5×8.6×
Vili Podgorelec · 1×
Citations per year

Countries citing papers authored by Na Geng

Since Specialization
Citations

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

Fields of papers citing papers by Na Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2016104
3 201489
4 202181
5 200880
6 202261
7 201260
8 201759
9 201657
10 201350
11 200849
12 202032
13 202332
14 201032
15 201930
16 201230
17 201926
18 201625
19 201324
20 201124

About Na Geng

Na Geng is a scholar working on Emergency Medical Services, Industrial and Manufacturing Engineering, Management Information Systems, Economics and Econometrics and Management Science and Operations Research, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (39 papers), Healthcare Policy and Management (17 papers), Advanced Queuing Theory Analysis (16 papers), Hospital Admissions and Outcomes (13 papers), Supply Chain and Inventory Management (10 papers), Scheduling and Optimization Algorithms (10 papers), Scheduling and Timetabling Solutions (9 papers) and Vehicle Routing Optimization Methods (9 papers). The work is most often cited by research in Emergency Medical Services (335 citations), Industrial and Manufacturing Engineering (378 citations), Management Information Systems (245 citations), Emergency Medicine (131 citations) and Management Science and Operations Research (163 citations). Na Geng has collaborated with scholars based in China, France and United States. Frequent co-authors include Zhibin Jiang, Xiaolan Xie, Liping Zhou, Dunwei Gong, Xiaoyan Sun, Yunqiang Yin, Yanzhang Wang, Yaochu Jin, Yuyan Wang and Dujuan Wang. Their work appears in journals such as International Journal of Production Research, European Journal of Operational Research, IEEE Transactions on Automation Science and Engineering, Computers & Operations Research and IEEE Transactions on Automatic Control.

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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