Qiuling Suo

940 total citations
22 papers, 615 citations indexed

About

Qiuling Suo is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing. According to data from OpenAlex, Qiuling Suo has authored 22 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Health Information Management and 6 papers in Signal Processing. Recurrent topics in Qiuling Suo's work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare (7 papers) and Time Series Analysis and Forecasting (5 papers). Qiuling Suo is often cited by papers focused on Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare (7 papers) and Time Series Analysis and Forecasting (5 papers). Qiuling Suo collaborates with scholars based in United States, China and Italy. Qiuling Suo's co-authors include Aidong Zhang, Fenglong Ma, Ye Yuan, Weida Zhong, Jing Gao, Guangxu Xun, Mengdi Huai, Kebin Jia, Quanzeng You and Jing Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Qiuling Suo

22 papers receiving 601 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qiuling Suo United States	14	399	174	107	83	83	22	615
Jaehak Yu South Korea	13	180 0.5×	119 0.7×	93 0.9×	70 0.8×	53 0.6×	37	617
Sidra Abbas Pakistan	14	303 0.8×	59 0.3×	82 0.8×	99 1.2×	43 0.5×	29	714
Deepta Rajan United States	8	213 0.5×	64 0.4×	96 0.9×	33 0.4×	27 0.3×	19	400
Jiangang Ma Australia	11	168 0.4×	43 0.2×	56 0.5×	55 0.7×	85 1.0×	29	468
Lan Wei Ireland	10	278 0.7×	76 0.4×	20 0.2×	26 0.3×	91 1.1×	28	622
Atifa Athar Pakistan	12	189 0.5×	78 0.4×	43 0.4×	50 0.6×	34 0.4×	21	484
Seral Özşen Türkiye	11	108 0.3×	74 0.4×	50 0.5×	51 0.6×	169 2.0×	38	453
Shamik Tiwari India	18	280 0.7×	77 0.4×	40 0.4×	315 3.8×	43 0.5×	74	975
Rekh Ram Janghel India	16	298 0.7×	106 0.6×	43 0.4×	110 1.3×	301 3.6×	62	977
Ashir Javeed Sweden	13	354 0.9×	430 2.5×	25 0.2×	40 0.5×	41 0.5×	25	816

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-authorship network of co-authors of Qiuling Suo

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuling Suo. A scholar is included among the top collaborators of Qiuling Suo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qiuling Suo. Qiuling Suo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shen, Li, et al.. (2023). Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14337–14352. 2 indexed citations

Shen, Li, et al.. (2023). MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. 24521–24531. 2 indexed citations

Zhong, Weida, Qiuling Suo, Xiaowei Jia, Aidong Zhang, & Lü Su. (2021). Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. 707–717. 28 indexed citations

Zhong, Weida, Qiuling Suo, Abhishek Gupta, et al.. (2021). MetaTP. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 5(3). 1–28. 7 indexed citations

Suo, Qiuling, et al.. (2021). Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8927–8937. 8 indexed citations

Suo, Qiuling, et al.. (2020). TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. 1789–1799. 26 indexed citations

Suo, Qiuling, et al.. (2020). GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. 798–807. 15 indexed citations

Suo, Qiuling, Weida Zhong, Fenglong Ma, et al.. (2019). Metric Learning on Healthcare Data with Incomplete Modalities. 3534–3540. 30 indexed citations

Zhong, Weida, Qiuling Suo, Fenglong Ma, et al.. (2019). A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 3(4). 1–26. 12 indexed citations

10.

Suo, Qiuling, et al.. (2019). Recurrent Imputation for Multivariate Time Series with Missing Values. 1–3. 26 indexed citations

11.

Suo, Qiuling, Fenglong Ma, Ye Yuan, et al.. (2018). Deep Patient Similarity Learning for Personalized Healthcare. IEEE Transactions on NanoBioscience. 17(3). 219–227. 94 indexed citations

12.

Yuan, Ye, Guangxu Xun, Qiuling Suo, Kebin Jia, & Aidong Zhang. (2018). Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing. 324. 31–42. 41 indexed citations

13.

Ma, Fenglong, Jing Gao, Qiuling Suo, et al.. (2018). Risk Prediction on Electronic Health Records with Prior Medical Knowledge. 1910–1919. 95 indexed citations

14.

Huai, Mengdi, Chenglin Miao, Yaliang Li, et al.. (2018). Metric Learning from Probabilistic Labels. 1541–1550. 12 indexed citations

15.

Yuan, Ye, Guangxu Xun, Fenglong Ma, et al.. (2018). A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. 206–209. 52 indexed citations

16.

Suo, Qiuling, Weida Zhong, Fenglong Ma, et al.. (2018). Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. 477–486. 18 indexed citations

17.

Suo, Qiuling, Fenglong Ma, Jing Gao, et al.. (2018). An Attention-based Recurrent Neural Networks Framework for Health Data Analysis.. 2161. 1 indexed citations

18.

Suo, Qiuling, Fenglong Ma, Ye Yuan, et al.. (2017). Personalized disease prediction using a CNN-based similarity learning method. 811–816. 57 indexed citations

19.

Yuan, Ye, Guangxu Xun, Qiuling Suo, Kebin Jia, & Aidong Zhang. (2017). Wave2Vec: Learning Deep Representations for Biosignals. 1159–1164. 26 indexed citations

20.

Suo, Qiuling, Hongfei Xue, Jing Gao, & Aidong Zhang. (2016). Risk Factor Analysis Based on Deep Learning Models. 394–403. 15 indexed citations

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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