Huiling Wu

1.5k citations
29 papers · 439 · h-index 12

Impact in

Papers in

Huiling Wu

29 papers receiving 426 citations

Peers

Huiling Wu
Comparison fields: 5 of 88
  • Health Informatics 12
  • Water Science and Technology 61
  • Renewable Energy, Sustainability and the Environment 70
  • Oncology 100
  • Catalysis 26
Replace Yefei Zhang with:
Yefei Zhang China
Xiaoyan Ma China
Fang Qu China
Junya Sato Japan
Qianqian Xiong China
Lianli Liu China
Kai Xuan China
Lili Zhou United States
Jingwei Liu China
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Huiling Wu relative to Yefei Zhang China Yefei Zhang's profile →
Citations per field
00.5×4.8×
Yefei Zhang · 1×
Citations per year

Countries citing papers authored by Huiling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 202081
3 202132
4 202220
5 202219
6 202119
7 201916
8 202315
9 201715
10 202314
11 202313
12 202111
13 202411
14 202010
15 20239
16 20229
17 20206
18 20196
19 20166
20 20245

About Huiling Wu

Huiling Wu is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition, Oncology, Water Science and Technology and Epidemiology, having authored 29 papers that have together received 439 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (5 papers), Congenital Heart Disease Studies (4 papers), Advanced Neural Network Applications (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Catalytic Processes in Materials Science (3 papers), Advanced oxidation water treatment (3 papers), Video Surveillance and Tracking Methods (3 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Health Informatics (12 citations), Water Science and Technology (61 citations), Renewable Energy, Sustainability and the Environment (70 citations), Oncology (100 citations) and Catalysis (26 citations). Huiling Wu has collaborated with scholars based in China, Taiwan and Netherlands. Frequent co-authors include Chengyu Jin, Wenjing Sun, Huangzhao Wei, Chenglin Sun, Chunying Pu, Lu An, Zihua Lu, Liwen Yao, Wei Zhou and Lihui Zhang. Their work appears in journals such as Applied Catalysis B: Environmental, Journal of Environmental Sciences, Applied Catalysis A General, Computer Modeling in Engineering & Sciences and Water Science & Technology.

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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