Long Chu

1.3k citations
53 papers · 689 · h-index 15

Impact in

Papers in

    • Marine and fisheries research 6
    • Forest Management and Policy 5
    • Marine Bivalve and Aquaculture Studies 5
    • Flood Risk Assessment and Management 4
    • Climate Change Policy and Economics 7
    • Fiscal Policy and Economic Growth 4

Long Chu

50 papers receiving 664 citations

Peers

Long Chu
Comparison fields: 5 of 96
  • Ocean Engineering 236
  • Water Science and Technology 193
  • Global and Planetary Change 207
  • Aquatic Science 48
  • Ecology 132
Replace Diego J. Rodrı́guez with:
Diego J. Rodrı́guez United States
Richard D. Horan United States
Byman Hamududu Norway
Marianna Siegmund‐Schultze Germany
Souvik Ghosh India
Sui Chian Phang United States
Trine Thorvaldsen Norway
Arnab Banerjee India
Paul McCord United States
Dewan Ahsan Denmark
Long Chu relative to Diego J. Rodrı́guez United States Diego J. Rodrı́guez's profile →
Citations per field
00.5×6.9×
Diego J. Rodrı́guez · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 201167
3 201961
4 201050
5 201136
6 201534
7 201427
8 201822
9 201720
10 202319
11 202119
12 202218
13 201818
14 201916
15 202215
16 202214
17 202413
18 202113
19 201913
20 202411

About Long Chu

Long Chu is a scholar working on Global and Planetary Change, Economics and Econometrics, Ocean Engineering, Ecology and Water Science and Technology, having authored 53 papers that have together received 689 indexed citations. Recurring topics across this work include Water resources management and optimization (13 papers), Water-Energy-Food Nexus Studies (8 papers), Climate Change Policy and Economics (7 papers), Marine and fisheries research (6 papers), Forest Management and Policy (5 papers), Marine Bivalve and Aquaculture Studies (5 papers), Flood Risk Assessment and Management (4 papers) and Fiscal Policy and Economic Growth (4 papers). The work is most often cited by research in Ocean Engineering (236 citations), Water Science and Technology (193 citations), Global and Planetary Change (207 citations), Aquatic Science (48 citations) and Ecology (132 citations). Long Chu has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include R. Quentin Grafton, Tom Kompas, Paul R. Wyrwoll, Michael J. Stewardson, Chin Yee Chan, Nhuong Van Tran, Michael J. Phillips, Nhu Che, Alexander Shula Kefi and Sven Genschick. Their work appears in journals such as Ecological Economics, Australian Journal of Agricultural and Resource Economics, Earth s Future, Marine Policy and Water Resources and Economics.

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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