Qiong Li

1.1k citations
37 papers · 789 · h-index 17

Impact in

Papers in

Qiong Li

35 papers receiving 776 citations

Peers

Qiong Li
Comparison fields: 5 of 130
  • Water Science and Technology 195
  • Computer Vision and Pattern Recognition 180
  • Media Technology 56
  • Industrial and Manufacturing Engineering 48
  • Dermatology 36
Replace Jie Shen with:
Jie Shen China
Yanyang Liu China
Feifei Ma China
Hyejin Kim South Korea
K.T. Chetty South Africa
M. Z. MatJafri Malaysia
Pengfei Li China
Yuanyuan Sun China
Yuchen Guo China
Qiong Li relative to Jie Shen China Jie Shen's profile →
Citations per field
00.5×1.5×2.3×
Jie Shen · 1×
Citations per year

Countries citing papers authored by Qiong Li

Since Specialization
Citations

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

Fields of papers citing papers by Qiong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 202070
3 201865
4 201964
5 201563
6 201252
7 201142
8 201938
9 201233
10 201329
11 202027
12 201925
13 202024
14 202224
15 202023
16 202119
17 202218
18 200514
19 202112
20 202011

About Qiong Li

Qiong Li is a scholar working on Water Science and Technology, Artificial Intelligence, Computer Vision and Pattern Recognition, Ecology and Materials Chemistry, having authored 37 papers that have together received 789 indexed citations. Recurring topics across this work include Skin Protection and Aging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Water Quality Monitoring Technologies (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Heavy metals in environment (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Water Science and Technology (195 citations), Computer Vision and Pattern Recognition (180 citations), Media Technology (56 citations), Industrial and Manufacturing Engineering (48 citations) and Dermatology (36 citations). Qiong Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Junyu Dong, Xin Sun, Xinyu Jiang, Jin‐Gang Yu, Fang Zhou, Guangqian Wang, Zhang Lei, Haibo Chu, Jiahua Wei and Lifeng Ma. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Ecological Indicators, Vaccine, IEEE Transactions on Industrial Electronics and ICES Journal of Marine Science.

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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