Hui‐Hua Lee

742 total citations
22 papers, 599 citations indexed

About

Hui‐Hua Lee is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Hui‐Hua Lee has authored 22 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 14 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Hui‐Hua Lee's work include Marine and fisheries research (18 papers), Fish Ecology and Management Studies (14 papers) and Marine Bivalve and Aquaculture Studies (11 papers). Hui‐Hua Lee is often cited by papers focused on Marine and fisheries research (18 papers), Fish Ecology and Management Studies (14 papers) and Marine Bivalve and Aquaculture Studies (11 papers). Hui‐Hua Lee collaborates with scholars based in United States, Taiwan and Japan. Hui‐Hua Lee's co-authors include Kevin R. Piner, Mark N. Maunder, Richard D. Methot, Chien-Chung Hsu, Ian Taylor, Manjit Singh, Lay‐Harn Gam, Gerard T. DiNardo, Chi‐Lu Sun and André E. Punt and has published in prestigious journals such as PLoS ONE, Canadian Journal of Fisheries and Aquatic Sciences and International Journal of Biological Sciences.

In The Last Decade

Hui‐Hua Lee

22 papers receiving 568 citations

Peers

Hui‐Hua Lee
Aaron M. Berger United States
Kelli F. Johnson United States
Merrill B. Rudd United States
Felipe Hurtado-Ferro United States
Katyana A. Vert-pre United States
Hui‐Hua Lee
Citations per year, relative to Hui‐Hua Lee Hui‐Hua Lee (= 1×) peers Athol R. Whitten

Countries citing papers authored by Hui‐Hua Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Hua Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Hua Lee. 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 Hui‐Hua Lee. The network helps show where Hui‐Hua Lee may publish in the future.

Co-authorship network of co-authors of Hui‐Hua Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Hua Lee. A scholar is included among the top collaborators of Hui‐Hua Lee 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 Hui‐Hua Lee. Hui‐Hua Lee 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.
Lee, Hui‐Hua, Mark N. Maunder, & Kevin R. Piner. (2023). Good Practices for estimating and using length-at-age in integrated stock assessments. Fisheries Research. 270. 106883–106883. 4 indexed citations
2.
Maunder, Mark N., Owen S. Hamel, Hui‐Hua Lee, et al.. (2022). A review of estimation methods for natural mortality and their performance in the context of fishery stock assessment. Fisheries Research. 257. 106489–106489. 48 indexed citations
3.
Crone, Paul R., Mark N. Maunder, Hui‐Hua Lee, & Kevin R. Piner. (2019). Good practices for including environmental data to inform spawner-recruit dynamics in integrated stock assessments: Small pelagic species case study. Fisheries Research. 217. 122–132. 18 indexed citations
4.
Lee, Hui‐Hua, Kevin R. Piner, Ian Taylor, & Toshihide Kitakado. (2019). On the use of conditional age at length data as a likelihood component in integrated population dynamics models. Fisheries Research. 216. 204–211. 7 indexed citations
5.
Lee, Hui‐Hua, Kevin R. Piner, Mark N. Maunder, Ian Taylor, & Richard D. Methot. (2017). Evaluation of alternative modelling approaches to account for spatial effects due to age-based movement. Canadian Journal of Fisheries and Aquatic Sciences. 74(11). 1832–1844. 26 indexed citations
6.
Craig, Matthew T., Heidi Dewar, Michael J. Kinney, et al.. (2017). Status review report of Pacific bluefin tuna (Thunnus orientalis). National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 5 indexed citations
7.
8.
Piner, Kevin R., Hui‐Hua Lee, & Mark N. Maunder. (2015). Evaluation of using random-at-length observations and an equilibrium approximation of the population age structure in fitting the von Bertalanffy growth function. Fisheries Research. 180. 128–137. 28 indexed citations
9.
Chang, Yi‐Jay, Jon Brodziak, J. Michael O’Malley, et al.. (2014). Model selection and multi-model inference for Bayesian surplus production models: A case study for Pacific blue and striped marlin. Fisheries Research. 166. 129–139. 15 indexed citations
10.
Lee, Hui‐Hua, Kevin R. Piner, Richard D. Methot, & Mark N. Maunder. (2014). Use of likelihood profiling over a global scaling parameter to structure the population dynamics model: An example using blue marlin in the Pacific Ocean. Fisheries Research. 158. 138–146. 30 indexed citations
11.
Lee, Hui‐Hua, Kevin R. Piner, Yi‐Jay Chang, et al.. (2014). Sex-structured population dynamics of blue marlin Makaira nigricans in the Pacific Ocean. Fisheries Science. 80(5). 869–878. 10 indexed citations
12.
Wang, Sheng-Ping, Mark N. Maunder, Kevin R. Piner, Alexandre Aires‐da‐Silva, & Hui‐Hua Lee. (2014). Evaluation of virgin recruitment profiling as a diagnostic for selectivity curve structure in integrated stock assessment models. Fisheries Research. 158. 158–164. 27 indexed citations
13.
Piner, Kevin R., Hui‐Hua Lee, Ai Kimoto, et al.. (2013). Population dynamics and status of striped marlin (Kajikia audax) in the western and central northern Pacific Ocean. Marine and Freshwater Research. 64(2). 108–118. 10 indexed citations
14.
Kahng, Samuel E., et al.. (2013). Factors influencing the distribution of Kona crabs Ranina ranina (Brachyura: Raninidae) catch rates in the Main Hawaiian Islands. Journal of Crustacean Biology. 1–8. 8 indexed citations
15.
Lee, Hui‐Hua, et al.. (2012). Comparison of Protein Expression Profiles of Different Stages of Lymph Nodes Metastasis in Breast Cancer. International Journal of Biological Sciences. 8(3). 353–362. 38 indexed citations
16.
Lee, Hui‐Hua, Mark N. Maunder, Kevin R. Piner, & Richard D. Methot. (2012). Can steepness of the stock–recruitment relationship be estimated in fishery stock assessment models?. Fisheries Research. 125-126. 254–261. 94 indexed citations
17.
Lee, Hui‐Hua, Mark N. Maunder, Kevin R. Piner, & Richard D. Methot. (2012). Reply to ‘The reliability of estimates of natural mortality from stock assessment models’. Fisheries Research. 119-120. 154–155. 3 indexed citations
18.
Lee, Hui‐Hua & Jon Brodziak. (2011). Investigation of the Association Between Hawaii Deep Slope Bottomfish CPUE and Environmental Variables 1. 2 indexed citations
19.
Brodziak, Jon, Dean L. Courtney, J. Michael O’Malley, et al.. (2011). Stock assessment of the main Hawaiian islands deep7 bottomfish complex through 2010. University of North Texas Digital Library (University of North Texas). 15 indexed citations
20.
Piner, Kevin R., Hui‐Hua Lee, Mark N. Maunder, & Richard D. Methot. (2011). A Simulation-Based Method to Determine Model Misspecification: Examples Using Natural Mortality and Population Dynamics Models. Marine and Coastal Fisheries. 3(1). 336–343. 32 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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