Zhiling Wang

8 papers receiving 334 citations

Zhiling Wang's Hit Papers

Large Scale Visual Food Recognition 2023 · 138 citations
1380+1+2Years since publication4080120

Peers

Zhiling Wang
Comparison fields: 5 of 60
  • Public Health, Environmental and Occupational Health 131
  • Analytical Chemistry 45
  • Biomedical Engineering 153
  • Computer Vision and Pattern Recognition 53
  • Food Science 43
Replace Zhengdong Luo with:
Zhengdong Luo China
Takumi Ege Japan
Xiaoming Wei China
Shuhuan Mei China
Xinda Liu China
Dario Allegra Italy
Chun Pong Lau United States
Baijuan Wang China
Haohan Ding China
R. Parameswari India
Zhiling Wang relative to Zhengdong Luo China Zhengdong Luo's profile →
Citations per field
00.5×1.5×2.2×
Zhengdong Luo · 1×
Citations per year

Countries citing papers authored by Zhiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Zhiling 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 Zhiling Wang Line = papers co-authored together Zhiling Wang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Large Scale Visual Food Recognition
Hit paper breakdown →
2023138
2 2020102
3 202231
4 202329
5 200821
6 202310
7 20087
8 20241
9 20220

About Zhiling Wang

Zhiling Wang is a scholar working on Public Health, Environmental and Occupational Health, Biomedical Engineering, Computer Vision and Pattern Recognition, Plant Science and Nutrition and Dietetics, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (4 papers), Advanced Chemical Sensor Technologies (4 papers), Biochemical Analysis and Sensing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Smart Agriculture and AI (2 papers), Horticultural and Viticultural Research (1 paper), Date Palm Research Studies (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (131 citations), Analytical Chemistry (45 citations), Biomedical Engineering (153 citations), Computer Vision and Pattern Recognition (53 citations) and Food Science (43 citations). Zhiling Wang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Shuqiang Jiang, Weiqing Min, Xiaolin Wei, Liping Kang, Xiaoming Wei, Xiaoming Wei, Yuxin Liu, Zhengdong Luo, Linhu Liu and Chunlin Liu. Their work appears in journals such as IEEE Transactions on Image Processing, Photosynthetica, Computers and Electronics in Agriculture, IEEE Transactions on Pattern Analysis and Machine Intelligence and SSRN Electronic Journal.

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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