Chih‐hao Hsieh

10.9k total citations · 3 hit papers
142 papers, 7.2k citations indexed

About

Chih‐hao Hsieh is a scholar working on Ecology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Chih‐hao Hsieh has authored 142 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Ecology, 66 papers in Global and Planetary Change and 55 papers in Oceanography. Recurrent topics in Chih‐hao Hsieh's work include Marine and fisheries research (50 papers), Marine and coastal ecosystems (49 papers) and Fish Ecology and Management Studies (32 papers). Chih‐hao Hsieh is often cited by papers focused on Marine and fisheries research (50 papers), Marine and coastal ecosystems (49 papers) and Fish Ecology and Management Studies (32 papers). Chih‐hao Hsieh collaborates with scholars based in Taiwan, Japan and United States. Chih‐hao Hsieh's co-authors include George Sugihara, Robert M. May, Hao Ye, Ethan R. Deyle, Michael J. Fogarty, Stephan B. Munch, J. R. Beddington, Wenxue Wu, Sarah M. Glaser and Christian S. Reiss and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chih‐hao Hsieh

132 papers receiving 6.9k citations

Hit Papers

Detecting Causality in Co... 2008 2026 2014 2020 2012 2008 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐hao Hsieh Taiwan 37 3.1k 3.1k 1.6k 1.4k 893 142 7.2k
Eric J. Ward United States 43 3.5k 1.1× 5.1k 1.7× 2.5k 1.6× 1.1k 0.7× 563 0.6× 157 9.3k
Ricardo S. Santos Portugal 48 3.3k 1.1× 4.1k 1.3× 1.6k 1.0× 1.8k 1.3× 570 0.6× 242 7.2k
S.A.L.M. Kooijman Netherlands 54 3.5k 1.1× 4.4k 1.4× 2.3k 1.4× 1.6k 1.1× 612 0.7× 219 10.9k
Andrew R. Solow United States 50 2.9k 0.9× 3.3k 1.1× 1.7k 1.0× 1.8k 1.3× 334 0.4× 243 8.4k
Mark J. Costello New Zealand 54 3.9k 1.3× 6.9k 2.3× 2.4k 1.4× 2.8k 2.0× 1.1k 1.3× 232 11.6k
Michael J. Fogarty United States 44 6.1k 2.0× 4.4k 1.4× 2.4k 1.5× 1.6k 1.2× 334 0.4× 101 9.6k
Stephan B. Munch United States 36 3.1k 1.0× 2.2k 0.7× 2.3k 1.4× 479 0.3× 423 0.5× 102 6.5k
Wolf M. Mooij Netherlands 50 2.0k 0.6× 3.7k 1.2× 2.2k 1.3× 2.3k 1.6× 480 0.5× 143 8.9k
Andrew S. Brierley United Kingdom 42 3.2k 1.0× 3.4k 1.1× 1.2k 0.7× 2.6k 1.8× 639 0.7× 161 6.8k
Vasilis Dakos France 40 8.7k 2.8× 2.9k 0.9× 1.9k 1.2× 854 0.6× 528 0.6× 100 13.3k

Countries citing papers authored by Chih‐hao Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐hao Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐hao Hsieh. 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 Chih‐hao Hsieh. The network helps show where Chih‐hao Hsieh may publish in the future.

Co-authorship network of co-authors of Chih‐hao Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐hao Hsieh. A scholar is included among the top collaborators of Chih‐hao Hsieh 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 Chih‐hao Hsieh. Chih‐hao Hsieh 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.
Hsieh, Chih‐hao, et al.. (2025). Dramatic effect of extreme rainfall event and storm on microbial community dynamics in a subtropical coastal region. The Science of The Total Environment. 964. 178560–178560.
2.
Miki, Takeshi, Chun‐Wei Chang, Po‐Ju Ke, et al.. (2025). How to quantify interaction strengths? A critical rethinking of the interaction Jacobian and evaluation methods for non-parametric inference in time series analysis. Physica D Nonlinear Phenomena. 476. 134613–134613.
3.
Lu, Hsiao‐Pei, et al.. (2025). Bioenergetically constrained dynamical microbial interactions govern the performance and stability of methane-producing bioreactors. npj Biofilms and Microbiomes. 11(1). 31–31. 4 indexed citations
4.
Anneville, Orlane, Benjamin Alric, Chun‐Wei Chang, et al.. (2025). Are we heading towards a global decrease in coregonine catches?. SPIRE - Sciences Po Institutional REpository. 61. 6–6.
5.
Wu, Wenxue, Chih‐hao Hsieh, Ramiro Logares, Jay T. Lennon, & Hongbin Liu. (2024). Ecological processes shaping highly connected bacterial communities along strong environmental gradients. FEMS Microbiology Ecology. 100(12). 1 indexed citations
6.
Tao, Hsiao‐Hang, Chun‐Wei Chang, & Chih‐hao Hsieh. (2023). Exploring mechanisms of spatial segregation between body size groups within fish populations under environmental change. Ecography. 2024(3).
8.
Chang, Chun‐Wei, Vasilis Dakos, Egbert H. van Nes, et al.. (2023). Anticipating the occurrence and type of critical transitions. Science Advances. 9(1). eabq4558–eabq4558. 30 indexed citations
9.
Saito, Hiroaki, et al.. (2022). Free-living marine bacterioplankton composition and diversity along the Kuroshio region. Deep Sea Research Part I Oceanographic Research Papers. 183. 103741–103741. 6 indexed citations
10.
Chang, Chun‐Wei, Takeshi Miki, Masayuki Ushio, et al.. (2021). Reconstructing large interaction networks from empirical time series data. Ecology Letters. 24(12). 2763–2774. 36 indexed citations
11.
Sato, M., et al.. (2021). Using metatranscriptomics to estimate the diversity and composition of zooplankton communities. Molecular Ecology Resources. 22(2). 638–652. 12 indexed citations
12.
Chen, Chung‐Chi, Gwo-Ching Gong, Wen‐Chen Chou, et al.. (2017). The influence of episodic flooding on a pelagic ecosystem in the East China Sea. Biogeosciences. 14(10). 2597–2609. 8 indexed citations
13.
Dakos, Vasilis, Sarah M. Glaser, Chih‐hao Hsieh, & George Sugihara. (2017). Elevated nonlinearity as an indicator of shifts in the dynamics of populations under stress. Journal of The Royal Society Interface. 14(128). 20160845–20160845. 31 indexed citations
15.
Lin, Ke, Akash R. Sastri, Guangcai Gong, & Chih‐hao Hsieh. (2013). Copepod community growth rates in relation to body size, temperature, and food availability in the East China Sea: a test of metabolic theory of ecology. Biogeosciences. 10(3). 1877–1892. 27 indexed citations
16.
Sugihara, George, Robert M. May, Hao Ye, et al.. (2012). Detecting Causality in Complex Ecosystems. Science. 338(6106). 496–500. 1536 indexed citations breakdown →
17.
Hsieh, Chih‐hao, Yuka Sakai, Syuhei Ban, et al.. (2011). Eutrophication and warming effects on long-term variation of zooplankton in Lake Biwa. Biogeosciences. 8(5). 1383–1399. 53 indexed citations
18.
Ko, Chia‐Ying, Ruey‐Shing Lin, Tzung‐Su Ding, Chih‐hao Hsieh, & Pei-Fen Lee. (2009). Identifying biodiversity hotspots by predictive models: a case study using Taiwan's endemic bird species.. Zoological studies. 48(3). 418–431. 29 indexed citations
19.
Hsieh, Chih‐hao, Tai‐Sheng Chiu, & Chang-tai Shih. (2004). Copepod Diversity and Composition as Indicators of Intrusion of the Kuroshio Branch Current into the Northern Taiwan Strait in Spring 2000. Zoological studies. 43(2). 393–403. 68 indexed citations
20.
Hsieh, Chih‐hao & Tai‐Sheng Chiu. (2002). Summer Spatial Distribution of Copepods and Fish Larvae in Relation to Hydrography in the Northern Taiwan Strait. Zoological studies. 41(1). 85–98. 56 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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