Cong Quan

490 total citations
6 papers, 293 citations indexed

About

Cong Quan is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cong Quan has authored 6 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cong Quan's work include Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Topic Modeling (2 papers). Cong Quan is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Topic Modeling (2 papers). Cong Quan collaborates with scholars based in China and Hong Kong. Cong Quan's co-authors include Chenliang Li, Libing Wu, Bolong Zheng, Qian Wang, Xiangyang Luo, Yuming Deng, Qiegen Liu, Yang Chen, Jinjie Zhou and Shanshan Wang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, ACM Transactions on Information Systems and Investigative Magnetic Resonance Imaging.

In The Last Decade

Cong Quan

6 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Quan China	4	222	205	58	31	25	6	293
Imrana Abdullahi Yari Germany	4	71 0.3×	250 1.2×	27 0.5×	12 0.4×	35 1.4×	7	331
Huafeng Liu China	8	102 0.5×	154 0.8×	84 1.4×	19 0.6×	10 0.4×	28	242
Jiajie Su China	9	209 0.9×	214 1.0×	67 1.2×	46 1.5×	9 0.4×	17	296
Felice Antonio Merra Italy	8	149 0.7×	191 0.9×	87 1.5×	41 1.3×	4 0.2×	19	266
Mohammad Al-Rubaie United States	4	51 0.2×	226 1.1×	46 0.8×	9 0.3×	9 0.4×	5	307
Yongjun Chen China	5	213 1.0×	198 1.0×	74 1.3×	49 1.6×	9 0.4×	14	287
Muhammet Sinan Başarslan Türkiye	8	38 0.2×	145 0.7×	44 0.8×	19 0.6×	21 0.8×	29	229
Linta Islam Bangladesh	8	131 0.6×	212 1.0×	41 0.7×	3 0.1×	12 0.5×	32	294

Countries citing papers authored by Cong Quan

Since Specialization

Citations

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

Fields of papers citing papers by Cong Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Quan. A scholar is included among the top collaborators of Cong Quan 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 Cong Quan. Cong Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Quan, Cong, Jinjie Zhou, Yang Chen, et al.. (2021). Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Transactions on Medical Imaging. 40(12). 3265–3278. 29 indexed citations

2.

Quan, Cong, et al.. (2020). A Comparative Study of Unsupervised Deep Learning Methods for MRI Reconstruction. Investigative Magnetic Resonance Imaging. 24(4). 179–179. 3 indexed citations

3.

Li, Chenliang, et al.. (2019). A Capsule Network for Recommendation and Explaining What You Like and Dislike. 275–284. 87 indexed citations

4.

Wu, Libing, Cong Quan, Chenliang Li, et al.. (2019). A Context-Aware User-Item Representation Learning for Item Recommendation. ACM Transactions on Information Systems. 37(2). 1–29. 154 indexed citations

5.

Wu, Libing, et al.. (2018). PARL. 677–686. 17 indexed citations

6.

Quan, Cong, et al.. (2014). Visualization and pattern discovery of social interactions and repost propagation in Sina Weibo. 1401–1408. 3 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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