Qiting Li

18 papers receiving 232 citations

Qiting Li's Hit Papers

Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach 2024 · 47 citations
470+1Years since publication10203040

Peers

Qiting Li
Comparison fields: 5 of 106
  • Otorhinolaryngology 8
  • Biological Psychiatry 4
  • Complementary and alternative medicine 13
  • Signal Processing 13
  • Transportation 8
Replace Chang‐Won Jeong with:
Chang‐Won Jeong South Korea
Mohamad Baydoun Canada
José M. Sánchez United States
Miha Moškon Slovenia
Satyam Dwivedi India
Youbing Zhao United Kingdom
Jean‐Philippe Couderc United States
Gilles Vandewiele Belgium
Ahmad Abuashour Jordan
Qiting Li relative to Chang‐Won Jeong South Korea Chang‐Won Jeong's profile →
Citations per field
00.5×2.6×
Chang‐Won Jeong · 1×
Citations per year

Countries citing papers authored by Qiting Li

Since Specialization
Citations

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

Fields of papers citing papers by Qiting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2
Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach
Hit paper breakdown →
202447
3 202412
4 20229
5 20227
6 20166
7 20145
8 20174
9 20164
10 20243
11 20243
12 20233
13 20251
14 20241
15 20251
16 20251
17 20221
18 20221
19 20250
20 20240

About Qiting Li

Qiting Li is a scholar working on Artificial Intelligence, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Biotechnology and Molecular Biology, having authored 22 papers that have together received 237 indexed citations. Recurring topics across this work include Microbial Metabolites in Food Biotechnology (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Diet, Metabolism, and Disease (6 papers), Quantum Information and Cryptography (5 papers), Enzyme Production and Characterization (4 papers), AI in cancer detection (3 papers), Quantum Mechanics and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Otorhinolaryngology (8 citations), Biological Psychiatry (4 citations), Complementary and alternative medicine (13 citations), Signal Processing (13 citations) and Transportation (8 citations). Qiting Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hai-Jun Wang, Rongsheng Wang, Zhaoyi Liu, Tao Yue, Weifeng Wang, Yahui Cheng, Weiwei Jiang, Haoyu Han, Yang Zhang and Shuhao Wang. Their work appears in journals such as Quantum Information Processing, Food Chemistry, IEEE Transactions on Consumer Electronics, Journal of Agricultural and Food Chemistry and Scientific Reports.

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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