Dewang Wang

847 citations
35 papers · 668 · h-index 12

Impact in

Papers in

    • Digital Media Forensic Detection 10
    • Advanced Steganography and Watermarking Techniques 7
    • Generative Adversarial Networks and Image Synthesis 5
    • Chaos-based Image/Signal Encryption 5
    • Soil erosion and sediment transport 5

Dewang Wang

34 papers receiving 663 citations

Peers

Dewang Wang
Comparison fields: 5 of 98
  • Soil Science 163
  • Earth-Surface Processes 92
  • Global and Planetary Change 264
  • Water Science and Technology 94
  • Computer Vision and Pattern Recognition 115
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Citations per year

Countries citing papers authored by Dewang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dewang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dewang Wang. 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 Dewang Wang. The network helps show where Dewang Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Dewang Wang, 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 Dewang Wang Line = papers co-authored together Dewang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 2018108
3 201876
4 201851
5 201240
6 202325
7 202225
8 202224
9 201421
10 201920
11 201519
12 202413
13 201911
14 202110
15 20209
16 20228
17 20246
18 20236
19 20215
20 20205

About Dewang Wang

Dewang Wang is a scholar working on Computer Vision and Pattern Recognition, Soil Science, Ecology, Water Science and Technology and Global and Planetary Change, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (10 papers), Advanced Steganography and Watermarking Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Soil erosion and sediment transport (5 papers), Chaos-based Image/Signal Encryption (5 papers), Water Quality and Pollution Assessment (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Soil Science (163 citations), Earth-Surface Processes (92 citations), Global and Planetary Change (264 citations), Water Science and Technology (94 citations) and Computer Vision and Pattern Recognition (115 citations). Dewang Wang has collaborated with scholars based in China, New Zealand and South Korea. Frequent co-authors include Chong Jiang, Linbo Zhang, Daiqing Li, Zhidong Zhang, Haiyan Zhang, Reshmita Nath, Lev D. Labzovskii, Gaobo Yang, Zhiqing Guo and Zhenjun Tang. Their work appears in journals such as Environmental Science and Pollution Research, Ecological Engineering, Multimedia Tools and Applications, BioMed Research International and Applied 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.

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