Wei Lv

168 papers receiving 3.6k citations

Wei Lv's Hit Papers

Epidemiology of chronic rhinosinusitis: results from a cross‐sectional survey in seven Chinese cities 2015 · 312 citations
3120+3+7Years since publication100200300

Peers

Wei Lv
Comparison fields: 5 of 178
  • Otorhinolaryngology 487
  • Safety, Risk, Reliability and Quality 552
  • Immunology and Allergy 349
  • Ocean Engineering 841
  • Transportation 350
Replace Marco Ramoni with:
Marco Ramoni United States
Kenichi Tanaka Japan
Alan S.L. Yu United States
Xin Chen China
Edwin L. Bradley United States
Paul F. Davis New Zealand
Choon‐Sik Park South Korea
Jin Hwan Kim South Korea
Yanfeng Li China
Elia Biganzoli Italy
Wei Lv relative to Marco Ramoni United States Marco Ramoni's profile →
Citations per field
00.5×50×116.7×
Marco Ramoni · 1×
Citations per year

Countries citing papers authored by Wei Lv

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of chronic rhinosinusitis: results from a cross‐sectional survey in seven Chinese cities
Hit paper breakdown →
2015312
2 2015107
3 2014100
4 201791
5 202290
6 201690
7 201189
8 201387
9 201585
10 201583
11 201277
12 201673
13 201571
14 201370
15 201867
16 201859
17 201554
18 202152
19 201550
20 201349

About Wei Lv

Wei Lv is a scholar working on Ocean Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Surgery and Epidemiology, having authored 176 papers that have together received 3.7k indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (37 papers), Traffic and Road Safety (24 papers), Traffic control and management (23 papers), Radio Frequency Integrated Circuit Design (14 papers), Transportation Planning and Optimization (13 papers), Sinusitis and nasal conditions (11 papers), Allergic Rhinitis and Sensitization (9 papers) and Asthma and respiratory diseases (8 papers). The work is most often cited by research in Otorhinolaryngology (487 citations), Safety, Risk, Reliability and Quality (552 citations), Immunology and Allergy (349 citations), Ocean Engineering (841 citations) and Transportation (350 citations). Wei Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiguo Song, Zhiming Fang, Zhen Xi, Long Yi, Weiguo Song, Shuchao Cao, Chao Wei, Jian Ma, Libi Fu and Xiaodong Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS ONE, Frontiers in Public Health, JAIDS Journal of Acquired Immune Deficiency Syndromes and Transportation Research Part C Emerging Technologies.

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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