Hui Ding
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Music and Audio Processing
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
Papers in
- Ecology 12
- Animal Ecology and Behavior Studies 5
- Plant Ecology and Soil Science 3
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- Data Management and Algorithms 7
- Co-authors
- Goce Trajcevski (5 shared papers)Peter Scheuermann (6 shared papers)Eamonn Keogh (2 shared papers)Xiaoyue Wang (2 shared papers)Abdullah Mueen (1 shared paper)Hui Ming Ge (3 shared papers)Ren Xiang Tan (3 shared papers)Ting Jin (4 shared papers)
- Journals
- Chemistry & Biodiversity (3 papers)Biodiversity and Conservation (2 papers)Chaos Solitons & Fractals (1 paper)Phytochemistry (1 paper)Applied Mathematics and Nonlinear Sciences (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hui Ding
38 papers receiving 2.5k citations
Hui Ding's Hit Papers
Peers
Comparison fields: 5 of 149
- Signal Processing 1.4k
- Artificial Intelligence 909
- Ecological Modeling 56
- Pharmacology 199
- Economics and Econometrics 354
Countries citing papers authored by Hui Ding
This map shows the geographic impact of Hui Ding'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 Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ding more than expected).
Fields of papers citing papers by Hui Ding
This network shows the impact of papers produced by Hui Ding. 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 Ding. The network helps show where Hui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Querying and mining of time series data Hit paper breakdown → | 2008 | 1046 |
| 2 | Experimental comparison of representation methods and distance measures for time series data Hit paper breakdown → | 2012 | 628 |
| 3 | 2006 | 190 | |
| 4 | 2006 | 155 | |
| 5 | 2006 | 80 | |
| 6 | 2007 | 65 | |
| 7 | 2009 | 60 | |
| 8 | 2020 | 46 | |
| 9 | 2020 | 38 | |
| 10 | 2021 | 29 | |
| 11 | 2010 | 27 | |
| 12 | 2004 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2009 | 23 | |
| 15 | 2020 | 19 | |
| 16 | 2007 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2008 | 16 |
About Hui Ding
Hui Ding is a scholar working on Ecology, Signal Processing, Education, Computer Networks and Communications and Pharmacology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Forest, Soil, and Plant Ecology in China (5 papers), Animal Ecology and Behavior Studies (5 papers), Fungal Biology and Applications (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Stochastic processes and financial applications (3 papers) and Plant Ecology and Soil Science (3 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (909 citations), Ecological Modeling (56 citations), Pharmacology (199 citations) and Economics and Econometrics (354 citations). Hui Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Goce Trajcevski, Peter Scheuermann, Eamonn Keogh, Xiaoyue Wang, Abdullah Mueen, Hui Ming Ge, Ren Xiang Tan, Ting Jin, Haigen Xu and Shu Xu. Their work appears in journals such as Chemistry & Biodiversity, Biodiversity and Conservation, Chaos Solitons & Fractals, Phytochemistry and Applied Mathematics and Nonlinear Sciences.
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.