Long Chu

47 papers receiving 949 citations

Peers

Long Chu
Comparison fields: 5 of 89
  • Ocean Engineering 230
  • Global and Planetary Change 246
  • General Agricultural and Biological Sciences 59
  • Management, Monitoring, Policy and Law 74
  • Water Science and Technology 100
Replace Andrés Baeza with:
Andrés Baeza United States
Justice Odoiquaye Odoi Ghana
Ray Huffaker United States
Ram Ranjan Australia
José Gustavo Féres Brazil
Norbert Henninger United States
Ayansina Ayanlade Nigeria
Mahadev G. Bhat United States
Bernard Ekumah Ghana
Denis Worlanyo Aheto Ghana
Long Chu relative to Andrés Baeza United States Andrés Baeza's profile →
Citations per field
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Andrés Baeza · 1×
Citations per year

Countries citing papers authored by Long Chu

Since Specialization
Citations

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

Fields of papers citing papers by Long Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019167
2 202291
3 201874
4 201166
5 201966
6 201050
7 201139
8 201535
9 201428
10 201825
11 202121
12 202321
13 202421
14 202220
15 201818
16 202218
17 201916
18 202216
19 202114
20 201913

About Long Chu

Long Chu is a scholar working on Ocean Engineering, Global and Planetary Change, Economics and Econometrics, Insect Science and Water Science and Technology, having authored 52 papers that have together received 978 indexed citations. Recurring topics across this work include Water resources management and optimization (13 papers), Marine and fisheries research (7 papers), Climate Change Policy and Economics (6 papers), Biological Control of Invasive Species (4 papers), Animal Disease Management and Epidemiology (4 papers), Conservation, Biodiversity, and Resource Management (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Fisheries and Aquaculture Studies (3 papers). The work is most often cited by research in Ocean Engineering (230 citations), Global and Planetary Change (246 citations), General Agricultural and Biological Sciences (59 citations), Management, Monitoring, Policy and Law (74 citations) and Water Science and Technology (100 citations). Long Chu has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include R. Quentin Grafton, Tom Kompas, Paul R. Wyrwoll, Michael J. Stewardson, Chin Yee Chan, Nhuong Van Tran, Michael John Phillips, Nhu Che, Sven Genschick and Alexander Shula Kefi. Their work appears in journals such as Ecological Economics, Australian Journal of Agricultural and Resource Economics, Water Resources and Economics, Environmental Modelling & Software and Earth s Future.

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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