Ming‐Hong Lu
Impact in
- Insect Science top 2%
- Insect-Plant Interactions and Control
- Ecological Modeling top 10%
Papers in
-
- Plant Parasitism and Resistance 5
- Nematode management and characterization studies 3
-
- Insect-Plant Interactions and Control 10
- Co-authors
- Gao Hu (12 shared papers)Baoping Zhai (12 shared papers)Wancai Liu (11 shared papers)Feng Zhu (3 shared papers)Caitríona E. McInerney (3 shared papers)Ka S. Lim (3 shared papers)Fang Lü (1 shared paper)Xiaoxi Zhang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Computers and Electronics in Agriculture (2 papers)Journal of Pest Science (2 papers)Ecosphere (2 papers)Phytopathology (2 papers)
- Partner nations
- ChinaUnited KingdomVietnam
In The Last Decade
Ming‐Hong Lu
22 papers receiving 455 citations
Peers
Comparison fields: 5 of 59
- Insect Science 288
- Ecological Modeling 29
- Plant Science 214
- Ecology, Evolution, Behavior and Systematics 108
- Ecology 72
Countries citing papers authored by Ming‐Hong Lu
This map shows the geographic impact of Ming‐Hong Lu'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 Ming‐Hong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hong Lu more than expected).
Fields of papers citing papers by Ming‐Hong Lu
This network shows the impact of papers produced by Ming‐Hong Lu. 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 Ming‐Hong Lu. The network helps show where Ming‐Hong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Hong Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2018 | 65 | |
| 3 | 2016 | 46 | |
| 4 | 2013 | 38 | |
| 5 | 2017 | 35 | |
| 6 | 2018 | 25 | |
| 7 | 2017 | 19 | |
| 8 | 2016 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 2 |
About Ming‐Hong Lu
Ming‐Hong Lu is a scholar working on Plant Science, Insect Science, Public Health, Environmental and Occupational Health, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (10 papers), Plant Parasitism and Resistance (5 papers), Mosquito-borne diseases and control (5 papers), Dengue and Mosquito Control Research (4 papers), Nematode management and characterization studies (3 papers), Forest Insect Ecology and Management (2 papers), Plant and animal studies (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). The work is most often cited by research in Insect Science (288 citations), Ecological Modeling (29 citations), Plant Science (214 citations), Ecology, Evolution, Behavior and Systematics (108 citations) and Ecology (72 citations). Ming‐Hong Lu has collaborated with scholars based in China, United Kingdom and Vietnam. Frequent co-authors include Gao Hu, Baoping Zhai, Wancai Liu, Feng Zhu, Caitríona E. McInerney, Ka S. Lim, Fang Lü, Xiaoxi Zhang, Guihua Chen and Jason W. Chapman. Their work appears in journals such as PLoS ONE, Computers and Electronics in Agriculture, Journal of Pest Science, Ecosphere and Phytopathology.
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.