Qiuling Suo

940 citations
22 papers · 615 · h-index 14

Impact in

Papers in

Qiuling Suo

22 papers receiving 601 citations

Peers

Qiuling Suo
Comparison fields: 5 of 83
  • Health Information Management 174
  • Artificial Intelligence 399
  • Signal Processing 107
  • Cognitive Neuroscience 83
  • Computer Vision and Pattern Recognition 83
Replace Jaehak Yu with:
Jaehak Yu South Korea
Atifa Athar Pakistan
Sidra Abbas Pakistan
Weida Zhong United States
Nizar Alsharif Saudi Arabia
Jiangang Ma Australia
Deepta Rajan United States
Arnisha Akhter Bangladesh
Sanam Shahla Rizvi South Korea
Shamik Tiwari India
Qiuling Suo relative to Jaehak Yu South Korea Jaehak Yu's profile →
Citations per field
00.5×2.9×
Jaehak Yu · 1×
Citations per year

Countries citing papers authored by Qiuling Suo

Since Specialization
Citations

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

Fields of papers citing papers by Qiuling Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qiuling Suo, 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 Qiuling Suo Line = papers co-authored together Qiuling Suo 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 201895
2 201894
3 201757
4 201852
5 201841
6
A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.
201739
7 201930
8 202128
9 202026
10 201926
11 201726
12 201818
13 202015
14 201615
15 201812
16 201912
17 20209
18 20218
19 20217
20 20232

About Qiuling Suo

Qiuling Suo is a scholar working on Artificial Intelligence, Health Information Management, Signal Processing, Computer Vision and Pattern Recognition and Transportation, having authored 22 papers that have together received 615 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare (7 papers), Time Series Analysis and Forecasting (5 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Health Information Management (174 citations), Artificial Intelligence (399 citations), Signal Processing (107 citations), Cognitive Neuroscience (83 citations) and Computer Vision and Pattern Recognition (83 citations). Qiuling Suo has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Aidong Zhang, Fenglong Ma, Ye Yuan, Weida Zhong, Jing Gao, Guangxu Xun, Mengdi Huai, Kebin Jia, Quanzeng You and Jing Zhou. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on NanoBioscience and Neurocomputing.

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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