Chia‐Ling Chang

1.3k citations
53 papers · 998 · h-index 18

Impact in

Papers in

Chia‐Ling Chang

52 papers receiving 949 citations

Peers

Chia‐Ling Chang
Comparison fields: 5 of 120
  • Water Science and Technology 270
  • Management Science and Operations Research 187
  • Environmental Engineering 214
  • Finance 102
  • Global and Planetary Change 200
Replace T. Ermolieva with:
T. Ermolieva Austria
Gerald Whittaker United States
Marc B. Neumann Spain
Joaquı́n Sánchez-Soriano Spain
Alina Bărbulescu Romania
Joseph Kasprzyk United States
Maria da Conceição Cunha Portugal
Manish Kumar India
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Citations per field
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Citations per year

Countries citing papers authored by Chia‐Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chia‐Ling Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chia‐Ling Chang Line = papers co-authored together Chia‐Ling Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 200987
3 200977
4 200573
5 201553
6 200635
7 201335
8 201433
9 200829
10 201029
11 201427
12 201326
13 200724
14 201124
15 201422
16 200821
17 200820
18 199017
19 201117
20 200714

About Chia‐Ling Chang

Chia‐Ling Chang is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Ocean Engineering and Environmental Chemistry, having authored 53 papers that have together received 998 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (18 papers), Flood Risk Assessment and Management (11 papers), Water resources management and optimization (9 papers), Soil and Water Nutrient Dynamics (7 papers), Water Quality and Pollution Assessment (6 papers), Water Quality Monitoring Technologies (4 papers), Urban Stormwater Management Solutions (4 papers) and Soil and Land Suitability Analysis (4 papers). The work is most often cited by research in Water Science and Technology (270 citations), Management Science and Operations Research (187 citations), Environmental Engineering (214 citations), Finance (102 citations) and Global and Planetary Change (200 citations). Chia‐Ling Chang has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Shang‐Lien Lo, Shu‐Heng Chen, Pei-Te Chiueh, Erl‐Shyh Kao, Che‐Wei Liao, Jen‐Yang Lin, Shengzhi Huang, Mengyuan Li, Ching‐Yao Hu and Wen‐Hui Kuan. Their work appears in journals such as Environmental Monitoring and Assessment, International Journal of Environmental Science and Technology, Water Resources Management, Environmental Engineering Science and International Journal of Sediment Research.

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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