Ni‐Bin Chang

13.0k total citations · 3 hit papers
325 papers, 10.0k citations indexed

About

Ni‐Bin Chang is a scholar working on Industrial and Manufacturing Engineering, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Ni‐Bin Chang has authored 325 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Industrial and Manufacturing Engineering, 104 papers in Environmental Engineering and 79 papers in Water Science and Technology. Recurrent topics in Ni‐Bin Chang's work include Constructed Wetlands for Wastewater Treatment (47 papers), Urban Stormwater Management Solutions (47 papers) and Water resources management and optimization (45 papers). Ni‐Bin Chang is often cited by papers focused on Constructed Wetlands for Wastewater Treatment (47 papers), Urban Stormwater Management Solutions (47 papers) and Water resources management and optimization (45 papers). Ni‐Bin Chang collaborates with scholars based in United States, Taiwan and China. Ni‐Bin Chang's co-authors include Ana Pires, Graça Martinho, Martin P. Wanielista, Brian Dyson, Jeff B. Breeden, S.F. Wang, Wei Gao, Kaixu Bai, Cheng Qi and Andrea Valencia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Ni‐Bin Chang

319 papers receiving 9.5k citations

Hit Papers

Combining GIS with fuzzy multicriteria decision-making fo... 2007 2026 2013 2019 2007 2021 2010 100 200 300 400 500

Peers

Ni‐Bin Chang
Ni‐Bin Chang
Citations per year, relative to Ni‐Bin Chang Ni‐Bin Chang (= 1×) peers Rehan Sadiq

Countries citing papers authored by Ni‐Bin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ni‐Bin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ni‐Bin Chang. 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 Ni‐Bin Chang. The network helps show where Ni‐Bin Chang may publish in the future.

Co-authorship network of co-authors of Ni‐Bin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ni‐Bin Chang. A scholar is included among the top collaborators of Ni‐Bin Chang 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 Ni‐Bin Chang. Ni‐Bin Chang 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.
Bai, Kaixu, Zhe Zheng, Chaoshun Liu, et al.. (2025). SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 19–35. 1 indexed citations
2.
Cheng, Jinxiang, et al.. (2024). The effect of biochar in a specialty adsorbent on enhanced PFAS removal from surface water. Journal of Water Process Engineering. 67. 106231–106231. 3 indexed citations
3.
Bai, Kaixu, He Chen, Yibing Sun, et al.. (2024). Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data. Remote Sensing of Environment. 304. 114039–114039. 9 indexed citations
4.
Zhao, Hui, et al.. (2024). Public perceptions of multiple ecosystem services from urban agriculture. Landscape and Urban Planning. 251. 105170–105170. 6 indexed citations
6.
Cheng, Jinxiang, et al.. (2024). An Attention-Driven and Autoencoder-Based Bidirectional LSTM for Long-Interval Gap Filling in a Water Treatment Process Dataset. IEEE Intelligent Systems. 41(1). 15–25. 1 indexed citations
7.
Cheng, Jinxiang & Ni‐Bin Chang. (2024). Understanding the transitional phase of nitrate removal in three different specialty adsorbents for stormwater treatment. Journal of environmental chemical engineering. 12(5). 113971–113971. 1 indexed citations
8.
Bai, Kaixu, Xinran Li, Chaoshun Liu, et al.. (2024). LGHAP v2: a global gap-free aerosol optical depth and PM 2.5 concentration dataset since 2000 derived via big Earth data analytics. Earth system science data. 16(5). 2425–2448. 13 indexed citations
9.
Ordonez, Diana, Andrea Valencia, Jinxiang Cheng, & Ni‐Bin Chang. (2023). Exploring the differential effect of adsorption ingredients in three green sorption media for phosphorous removal from river water. Journal of Water Process Engineering. 55. 104073–104073. 6 indexed citations
10.
Ordonez, Diana, Andrea Valencia, & Ni‐Bin Chang. (2023). Exploring shared adsorption capacity and thermodynamics for simultaneous removal of microcystin and phosphorus via green sorption media in eutrophic water. Sustainable materials and technologies. 38. e00777–e00777. 2 indexed citations
11.
Bai, Kaixu, Mingliang Ma, Jianping Guo, et al.. (2022). Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics. ISPRS Journal of Photogrammetry and Remote Sensing. 193. 45–59. 11 indexed citations
12.
Bai, Kaixu, et al.. (2021). Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event. International Journal of Applied Earth Observation and Geoinformation. 102. 102366–102366. 24 indexed citations
14.
Chang, Ni‐Bin, et al.. (2020). A Comparative Assessment of Multisensor Data Merging and Fusion Algorithms for High-Resolution Surface Reflectance Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4044–4059. 11 indexed citations
15.
Bai, Kaixu, et al.. (2020). A homogenized daily in situ PM 2.5 concentration dataset from the national air quality monitoring network in China. Earth system science data. 12(4). 3067–3080. 20 indexed citations
16.
Bai, Kaixu, Ke Li, Jianping Guo, Yuanjian Yang, & Ni‐Bin Chang. (2020). Filling the gaps of in situ hourly PM 2.5 concentration data with the aid of empirical orthogonal function analysis constrained by diurnal cycles. Atmospheric measurement techniques. 13(3). 1213–1226. 24 indexed citations
17.
Bai, Kaixu, Mingliang Ma, Ni‐Bin Chang, & Wei Gao. (2018). Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data. Journal of Environmental Management. 233. 530–542. 71 indexed citations
18.
Chang, Ni‐Bin, Dan Wen, Amy M. McKenna, & Martin P. Wanielista. (2018). The Impact of Carbon Source as Electron Donor on Composition and Concentration of Dissolved Organic Nitrogen in Biosorption-Activated Media for Stormwater and Groundwater Co-Treatment. Environmental Science & Technology. 52(16). 9380–9390. 32 indexed citations
19.
Bai, Kaixu, et al.. (2017). An intercomparison of multidecadal observational and reanalysis data sets for global total ozone trends and variability analysis. Journal of Geophysical Research Atmospheres. 122(13). 7119–7139. 11 indexed citations
20.
Chang, Ni‐Bin, et al.. (2016). A Study of the Temperature-humidity Effect and Luminous Environment design for Urban Green Space. SHILAP Revista de lepidopterología. 1 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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