Angel Hsu

5.9k total citations · 1 hit paper
61 papers, 2.7k citations indexed

About

Angel Hsu is a scholar working on Economics and Econometrics, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Angel Hsu has authored 61 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 21 papers in Global and Planetary Change and 19 papers in Environmental Engineering. Recurrent topics in Angel Hsu's work include Climate Change Policy and Economics (21 papers), Sustainability and Climate Change Governance (12 papers) and Energy, Environment, Economic Growth (10 papers). Angel Hsu is often cited by papers focused on Climate Change Policy and Economics (21 papers), Sustainability and Climate Change Governance (12 papers) and Energy, Environment, Economic Growth (10 papers). Angel Hsu collaborates with scholars based in United States, Singapore and Netherlands. Angel Hsu's co-authors include TC Chakraborty, Glenn Sheriff, Diego Manya, Amy Weinfurter, Alex de Sherbinin, Sander Chan, Kaiyang Xu, Laura A. Johnson, Niklas Höhne and Nihit Goyal and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Angel Hsu

56 papers receiving 2.6k citations

Hit Papers

Disproportionate exposure to urban heat island intensity ... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angel Hsu United States 27 930 903 819 585 451 61 2.7k
Yue Che China 30 1.1k 1.2× 678 0.8× 856 1.0× 355 0.6× 239 0.5× 109 2.8k
Vivek Shandas United States 25 978 1.1× 945 1.0× 1.1k 1.4× 235 0.4× 404 0.9× 71 2.6k
Brian Deal United States 27 1.3k 1.4× 657 0.7× 837 1.0× 218 0.4× 181 0.4× 80 2.5k
Galen Newman United States 26 952 1.0× 325 0.4× 591 0.7× 272 0.5× 546 1.2× 127 2.1k
Dongqi Sun China 28 1.6k 1.7× 1.2k 1.3× 964 1.2× 607 1.0× 229 0.5× 121 3.3k
Alex Y. Lo Hong Kong 35 1.7k 1.8× 819 0.9× 1.2k 1.5× 1.2k 2.0× 1.1k 2.5× 101 4.0k
Wenzhong Zhang China 30 703 0.8× 725 0.8× 887 1.1× 1.2k 2.1× 458 1.0× 131 3.1k
Maximilian Auffhammer United States 35 1.0k 1.1× 758 0.8× 654 0.8× 1.7k 2.9× 478 1.1× 89 5.2k
Patricia Romero‐Lankao United States 30 1.2k 1.3× 410 0.5× 484 0.6× 381 0.7× 821 1.8× 65 2.8k
Liang Zhou China 28 1.8k 1.9× 903 1.0× 744 0.9× 370 0.6× 139 0.3× 132 3.1k

Countries citing papers authored by Angel Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Angel Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angel Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Angel Hsu. A scholar is included among the top collaborators of Angel Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angel Hsu. Angel Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Manya, Diego, et al.. (2025). ClimActor 2.0: A spatialized database of subnational climate pledges and emissions data. California Digital Library.
2.
Li, Xiaojiang, Guoqing Wang, Benjamin F. Zaitchik, Angel Hsu, & TC Chakraborty. (2024). Sensitivity and vulnerability to summer heat extremes in major cities of the United States. Environmental Research Letters. 19(9). 94039–94039. 14 indexed citations
3.
Song, Kaihui, et al.. (2024). Assessing subnational climate action in G20 cities and regions: Progress and ambition. One Earth. 7(12). 2189–2203. 5 indexed citations
4.
Goyal, Nihit, et al.. (2024). Ambient air pollution and consumer spending: Evidence from Spain. PLoS ONE. 19(1). e0292245–e0292245. 1 indexed citations
5.
Ying, Yu, Xijing Li, Angel Hsu, & Noah Kittner. (2024). Mapping Spatiotemporal Disparities in Residential Electricity Inequality Using Machine Learning. Environmental Science & Technology. 58(45). 19999–20008. 2 indexed citations
6.
Song, Kaihui, et al.. (2023). Cities and regions tackle climate change mitigation but often focus on less effective solutions. Communications Earth & Environment. 4(1). 16 indexed citations
7.
Constant, Axel, et al.. (2023). Blockchain and regenerative finance: charting a path toward regeneration. SHILAP Revista de lepidopterología. 6. 5 indexed citations
8.
Hsu, Angel, et al.. (2023). Citizen and machine learning-aided high-resolution mapping of urban heat exposure and stress. SHILAP Revista de lepidopterología. 3(3). 35003–35003. 5 indexed citations
9.
Chakraborty, TC, Andrew J. Newman, Yun Qian, Angel Hsu, & Glenn Sheriff. (2023). Residential segregation and outdoor urban moist heat stress disparities in the United States. One Earth. 6(6). 738–750. 46 indexed citations
10.
Hsu, Angel, et al.. (2022). A computational approach to analyzing climate strategies of cities pledging net zero. SHILAP Revista de lepidopterología. 2(1). 18 indexed citations
11.
Hsu, Angel, Kathryn G. Logan, Manzoor Qadir, et al.. (2022). Opportunities and barriers to net-zero cities. One Earth. 5(7). 739–744. 11 indexed citations
12.
Hsu, Angel, et al.. (2022). Predicting European cities’ climate mitigation performance using machine learning. Nature Communications. 13(1). 7487–7487. 27 indexed citations
13.
Hsu, Angel, et al.. (2022). Nested Climate Accounting for Our Atmospheric Commons—Digital Technologies for Trusted Interoperability Across Fragmented Systems. SHILAP Revista de lepidopterología. 4. 4 indexed citations
14.
Hsu, Angel, Glenn Sheriff, TC Chakraborty, & Diego Manya. (2021). Disproportionate exposure to urban heat island intensity across major US cities. Nature Communications. 12(1). 2721–2721. 483 indexed citations breakdown →
15.
Hsu, Angel, Glenn Sheriff, TC Chakraborty, & Diego Manya. (2021). Publisher Correction: Disproportionate exposure to urban heat island intensity across major US cities. Nature Communications. 12(1). 4104–4104. 11 indexed citations
16.
Hsu, Angel, et al.. (2020). ClimActor, harmonized transnational data on climate network participation by city and regional governments. Scientific Data. 7(1). 374–374. 17 indexed citations
17.
Pereira, Laura, Angel Hsu, Jeanne Nel, et al.. (2019). Bottom-up Initiatives and Participatory Approaches for Outlooks. City Research Online (City University London). 1 indexed citations
18.
Hsu, Angel, et al.. (2019). Black and Smelly Waters: how citizen-generated transparency is addressing gaps in China’s environmental management. Journal of Environmental Policy & Planning. 22(1). 138–153. 17 indexed citations
19.
Hsu, Angel, et al.. (2016). Track climate pledges of cities and companies. Nature. 532(7599). 303–306. 52 indexed citations
20.
Chan, Sander, Harro van Asselt, Thomas Hale, et al.. (2015). Reinvigorating International Climate Policy: A Comprehensive Framework for Effective Nonstate Action. RePEc: Research Papers in Economics. 3 indexed citations

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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