Hangwei Liu

905 citations
23 papers · 476 · h-index 13

Impact in

Papers in

Hangwei Liu

22 papers receiving 473 citations

Peers

Hangwei Liu
Comparison fields: 5 of 57
  • Insect Science 200
  • Cellular and Molecular Neuroscience 190
  • Genetics 159
  • Ecology, Evolution, Behavior and Systematics 76
  • Plant Science 112
Replace Guoqing Yang with:
Guoqing Yang China
Qian Ju China
Cheng‐Hua Zhao China
Shigui Wang China
Yi Yu China
Gaia Monteforti Italy
Xiaoming Chen China
Peter Olsson Sweden
Kejian Lin China
Jelena Purać Serbia
Hangwei Liu relative to Guoqing Yang China Guoqing Yang's profile →
Citations per field
00.5×1.5×2.5×
Guoqing Yang · 1×
Citations per year

Countries citing papers authored by Hangwei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hangwei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201949
3 202048
4 202039
5 201639
6 201638
7 202232
8 202030
9 202130
10 202321
11 202219
12 202114
13 202212
14 202311
15 202210
16 20218
17 20227
18 20235
19 20233
20 20241

About Hangwei Liu

Hangwei Liu is a scholar working on Insect Science, Molecular Biology, Plant Science, Cellular and Molecular Neuroscience and Genetics, having authored 23 papers that have together received 476 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Insect-Plant Interactions and Control (6 papers), Insect and Arachnid Ecology and Behavior (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Insect Resistance and Genetics (3 papers), Insect Utilization and Effects (2 papers) and Anaerobic Digestion and Biogas Production (2 papers). The work is most often cited by research in Insect Science (200 citations), Cellular and Molecular Neuroscience (190 citations), Genetics (159 citations), Ecology, Evolution, Behavior and Systematics (76 citations) and Plant Science (112 citations). Hangwei Liu has collaborated with scholars based in China, Pakistan and Poland. Frequent co-authors include Yongjun Zhang, Wei Fan, Fan Jiang, Hengchao Wang, Sen Wang, Yan Zhang, Liang Sun, Yuyuan Guo, Shaohua Gu and Khalid Hussain Dhiloo. Their work appears in journals such as Molecular Ecology Resources, GigaScience, Frontiers in Microbiology, Pest Management Science and Journal of Agricultural and Food Chemistry.

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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