Zhiling Wang

8 papers receiving 371 citations

Zhiling Wang's Hit Papers

Large Scale Visual Food Recognition 2023 · 162 citations
1620+1+2Years since publication50100150

Peers

Zhiling Wang
Comparison fields: 5 of 60
  • Public Health, Environmental and Occupational Health 151
  • Analytical Chemistry 49
  • Biomedical Engineering 163
  • Computer Vision and Pattern Recognition 63
  • Food Science 46
Replace Zhengdong Luo with:
Zhengdong Luo China
Takumi Ege Japan
Xiaoming Wei China
Shuhuan Mei China
Xinda Liu China
Zeman Shao United States
Pamela M. Keagy United States
Haohan Ding China
Zhaoyan Liu China
Jiangong Ni China
Zhiling Wang relative to Zhengdong Luo China Zhengdong Luo's profile →
Citations per field
00.5×1.5×2.0×
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

8 of 8 papers shown
#Work
1
Large Scale Visual Food Recognition
Hit paper breakdown →
2023162
2 2020113
3 202334
4 202232
5 200822
6 202310
7 20087
8 20241

About Zhiling Wang

Zhiling Wang is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Nutrition and Dietetics, Biomedical Engineering and Nature and Landscape Conservation, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (4 papers), Nutritional Studies and Diet (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Image Retrieval and Classification Techniques (1 paper), Plant and animal studies (1 paper), Plant and Fungal Species Descriptions (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 (151 citations), Analytical Chemistry (49 citations), Biomedical Engineering (163 citations), Computer Vision and Pattern Recognition (63 citations) and Food Science (46 citations). Zhiling Wang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Weiqing Min, Shuqiang Jiang, Xiaolin K. Wei, Liping Kang, Xiaoming Wei, Xiaoming Wei, Yuxin Liu, Linhu Liu, Zhengdong Luo and Chunlin Liu. Their work appears in journals such as Photosynthetica, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computers and Electronics in Agriculture.

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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