Hone‐Jay Chu

3.9k total citations · 1 hit paper
142 papers, 3.1k citations indexed

About

Hone‐Jay Chu is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Hone‐Jay Chu has authored 142 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Environmental Engineering, 43 papers in Global and Planetary Change and 30 papers in Water Science and Technology. Recurrent topics in Hone‐Jay Chu's work include Landslides and related hazards (17 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Watershed Management Studies (15 papers). Hone‐Jay Chu is often cited by papers focused on Landslides and related hazards (17 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Watershed Management Studies (15 papers). Hone‐Jay Chu collaborates with scholars based in Taiwan, Indonesia and United States. Hone‐Jay Chu's co-authors include Yu‐Pin Lin, Liang‐Cheng Chang, Tsung-Wen Chien, Hwa‐Lung Yu, Hsin-Ta Hsueh, Muhammad Zeeshan Ali, Ting-Ke Tseng, Chuan‐Yao Lin, Chen‐Fa Wu and Peter H. Verburg and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Hone‐Jay Chu

134 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing

2025 18 citations Hone‐Jay Chu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hone‐Jay Chu Taiwan	31	880	854	575	489	440	142	3.1k
Khaled Mohamed Khedher Saudi Arabia	31	795 0.9×	781 0.9×	634 1.1×	292 0.6×	163 0.4×	164	3.1k
Shuang Liu China	30	740 0.8×	583 0.7×	616 1.1×	144 0.3×	151 0.3×	218	3.5k
Chunhua Zhang China	37	1.5k 1.7×	914 1.1×	431 0.7×	155 0.3×	197 0.4×	174	5.7k
Martin F. Lambert Australia	42	1.4k 1.6×	733 0.9×	1.2k 2.1×	779 1.6×	1.2k 2.6×	251	6.2k
Xiaoqing Shi China	33	242 0.3×	1.1k 1.3×	552 1.0×	261 0.5×	279 0.6×	124	3.1k
Lin Zhu China	36	571 0.6×	776 0.9×	360 0.6×	95 0.2×	394 0.9×	254	5.2k
Bryan Karney Canada	42	189 0.2×	1.0k 1.2×	796 1.4×	1.0k 2.1×	712 1.6×	253	5.8k
Xu‐Sheng Wang China	36	530 0.6×	1.5k 1.7×	961 1.7×	305 0.6×	113 0.3×	193	3.6k
Xueliang Zhang China	33	1.1k 1.2×	876 1.0×	550 1.0×	113 0.2×	562 1.3×	176	5.1k
Shuguang Liu China	31	1.0k 1.2×	513 0.6×	893 1.6×	143 0.3×	158 0.4×	223	3.3k

Countries citing papers authored by Hone‐Jay Chu

Since Specialization

Citations

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

Fields of papers citing papers by Hone‐Jay Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hone‐Jay Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Hone‐Jay Chu. A scholar is included among the top collaborators of Hone‐Jay Chu 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 Hone‐Jay Chu. Hone‐Jay Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Jie, Tiantian Zhang, Hone‐Jay Chu, et al.. (2025). Physicochemical properties, structural analysis, and activity of Shancigu polysaccharides. International Journal of Biological Macromolecules. 298. 140071–140071. 2 indexed citations

Chu, Hone‐Jay, et al.. (2024). Utilizing deep learning to investigate the impacts of climate change on groundwater dynamics and pumping variability. The Science of The Total Environment. 957. 177784–177784. 1 indexed citations

Chu, Hone‐Jay, et al.. (2024). Impacts of Sea Surface Temperature Variability in the Indian Ocean on Drought Conditions over India during ENSO and IOD Events. Journal of Marine Science and Engineering. 12(1). 136–136. 6 indexed citations

Chang, Wei‐Hsiang, et al.. (2024). Enhancing indoor PM2.5 predictions based on land use and indoor environmental factors by applying machine learning and spatial modeling approaches. Environmental Pollution. 363(Pt 1). 125093–125093. 4 indexed citations

Islam, Aznarul, et al.. (2024). SPI-gamma random forest modelling for meteorological drought characterization and prediction in the Bengal Delta, Indo-Bangladesh region. Theoretical and Applied Climatology. 156(1). 4 indexed citations

Chu, Hone‐Jay, et al.. (2024). Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data. Earth Systems and Environment. 9(1). 197–213. 5 indexed citations

Chu, Hone‐Jay, et al.. (2023). Fishing Area Prediction Using Scene-Based Ensemble Models. Journal of Marine Science and Engineering. 11(7). 1398–1398. 2 indexed citations

Chu, Hone‐Jay, et al.. (2023). Machine-learning-estimation of high-spatiotemporal-resolution chlorophyll-a concentration using multi-satellite imagery. Sustainable Environment Research. 33(1). 10 indexed citations

Chu, Hone‐Jay, et al.. (2021). Multi-Reservoir Water Quality Mapping from Remote Sensing Using Spatial Regression. Sustainability. 13(11). 6416–6416. 16 indexed citations

10.

Ali, Muhammad Zeeshan, Hone‐Jay Chu, & Thomas J. Burbey. (2020). Mapping and predicting subsidence from spatio-temporal regression models of groundwater-drawdown and subsidence observations. Hydrogeology Journal. 28(8). 2865–2876. 26 indexed citations

11.

Chu, Hone‐Jay, et al.. (2020). Social Sensing for Urban Land Use Identification. ISPRS International Journal of Geo-Information. 9(9). 550–550. 12 indexed citations

12.

Chu, Hone‐Jay & Muhammad Zeeshan Ali. (2020). Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM2.5. International Journal of Environmental Research and Public Health. 17(4). 1419–1419. 1 indexed citations

13.

Chen, Yi‐Chin, Kang‐Tsung Chang, Sufen Wang, et al.. (2019). Controls of preferential orientation of earthquake‐ and rainfall‐triggered landslides in Taiwan's orogenic mountain belt. Earth Surface Processes and Landforms. 44(9). 1661–1674. 30 indexed citations

14.

Chu, Hone‐Jay, et al.. (2019). Adaptive Non-Negative Geographically Weighted Regression for Population Density Estimation Based on Nighttime Light. ISPRS International Journal of Geo-Information. 8(1). 26–26. 30 indexed citations

15.

Chu, Hone‐Jay, et al.. (2019). Satellite-Based Water Quality Mapping from Sequential Simulation with Parameter Outlier Removal. Water Resources Management. 34(1). 311–325. 4 indexed citations

16.

Chu, Hone‐Jay, et al.. (2019). Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation. Water. 11(4). 751–751. 33 indexed citations

17.

Lin, Chao‐Hung, et al.. (2019). Spectral Feature Selection Optimization for Water Quality Estimation. International Journal of Environmental Research and Public Health. 17(1). 272–272. 14 indexed citations

18.

Chu, Hone‐Jay, Yi‐Chin Chen, Muhammad Zeeshan Ali, & Bernhard Höfle. (2019). Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland. International Journal of Environmental Research and Public Health. 16(7). 1109–1109. 9 indexed citations

19.

Chu, Hone‐Jay, et al.. (2017). Historic Low Wall Detection via Topographic Parameter Images Derived from Fine-Resolution DEM. ISPRS International Journal of Geo-Information. 6(11). 346–346. 4 indexed citations

20.

Lin, Yu‐Pin, et al.. (2010). Hotspot Analysis of Spatial Environmental Pollutants Using Kernel Density Estimation and Geostatistical Techniques. International Journal of Environmental Research and Public Health. 8(1). 75–88. 47 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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