Qing Cong

597 total citations
15 papers, 370 citations indexed

About

Qing Cong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Qing Cong has authored 15 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Social Psychology. Recurrent topics in Qing Cong's work include Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Mental Health via Writing (2 papers). Qing Cong is often cited by papers focused on Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Mental Health via Writing (2 papers). Qing Cong collaborates with scholars based in China and United States. Qing Cong's co-authors include Guozheng Rao, Zhiyong Feng, Weihang Huang, Li Zhang, Cui Tao, Fang Li, Yang Xiang, Ke Feng, Sheng Wang and Xiajiong Shen and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Intelligence.

In The Last Decade

Qing Cong

12 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Cong China 6 269 65 61 39 38 15 370
Guozheng Rao China 8 327 1.2× 65 1.0× 78 1.3× 39 1.0× 43 1.1× 39 448
Jacky Casas Switzerland 7 183 0.7× 37 0.6× 28 0.5× 30 0.8× 22 0.6× 11 323
Tulika Saha India 12 250 0.9× 82 1.3× 30 0.5× 37 0.9× 23 0.6× 32 334
Md Tahmid Rahman Laskar Canada 11 258 1.0× 40 0.6× 41 0.7× 16 0.4× 9 0.2× 24 352
Md. Rafiqul Islam Bangladesh 8 184 0.7× 178 2.7× 45 0.7× 101 2.6× 17 0.4× 29 389
Homa Hosseinmardi United States 8 164 0.6× 75 1.2× 34 0.6× 8 0.2× 29 0.8× 15 325
E. Grace Mary Kanaga India 8 101 0.4× 53 0.8× 34 0.6× 22 0.6× 17 0.4× 47 307
Ahmed Al Marouf Bangladesh 11 156 0.6× 43 0.7× 57 0.9× 10 0.3× 42 1.1× 39 332
Saurabh Raj Sangwan India 11 230 0.9× 33 0.5× 94 1.5× 11 0.3× 72 1.9× 19 344
Hatoon S. AlSagri Saudi Arabia 10 115 0.4× 96 1.5× 38 0.6× 57 1.5× 15 0.4× 27 309

Countries citing papers authored by Qing Cong

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cong

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

All Works

15 of 15 papers shown
1.
Luo, Lingxiao, Liangkai Zheng, Yan Xie, et al.. (2025). Multicenter Validated Machine Learning Model for Cervical Cancer Based on HPV Genotyping Results. International Journal of Gynecological Cancer. 102855–102855.
2.
Xu, Shiqiang, et al.. (2025). StatEstNet and FeDeNet: A hybrid framework for underwater image enhancement. Digital Signal Processing. 163. 105170–105170. 1 indexed citations
3.
Liu, Boyang, Guozheng Rao, Xin Wang, Li Zhang, & Qing Cong. (2024). DE3TC: Detecting Events with Effective Event Type Information and Context. Neural Processing Letters. 56(2).
4.
Rao, Guozheng, et al.. (2024). Entity-relation aggregation mechanism graph neural network for knowledge graph embedding. Applied Intelligence. 55(1). 2 indexed citations
5.
Rao, Guozheng, et al.. (2023). BiLGAT: Bidirectional lattice graph attention network for chinese short text classification. Applied Intelligence. 53(19). 22405–22414. 3 indexed citations
6.
Feng, Ke, Guozheng Rao, Li Zhang, & Qing Cong. (2023). An interlayer feature fusion-based heterogeneous graph neural network. Applied Intelligence. 53(21). 25626–25639. 6 indexed citations
8.
Rao, Guozheng, et al.. (2020). MGL-CNN: A Hierarchical Posts Representations Model for Identifying Depressed Individuals in Online Forums. IEEE Access. 8. 32395–32403. 34 indexed citations
9.
Zhang, Li, et al.. (2020). Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning. Healthcare. 8(3). 307–307. 24 indexed citations
10.
Cong, Qing, Zhiyong Feng, Fang Li, et al.. (2018). X-A-BiLSTM: a Deep Learning Approach for Depression Detection in Imbalanced Data. 1624–1627. 45 indexed citations
11.
Rao, Guozheng, Weihang Huang, Zhiyong Feng, & Qing Cong. (2018). LSTM with sentence representations for document-level sentiment classification. Neurocomputing. 308. 49–57. 231 indexed citations
12.
Cong, Qing, Zhiyong Feng, Fang Li, et al.. (2018). Constructing Biomedical Knowledge Graph Based on SemMedDB and Linked Open Data. 1628–1631. 15 indexed citations
13.
Shen, Xiajiong, Qing Cong, & Sheng Wang. (2010). Face recognition based on Two-Dimensional Discriminant Locality Preserving Projection. 290. V4–403. 3 indexed citations
14.
Cong, Qing, et al.. (2010). Notice of Retraction: Dynamic Feedback Equalization Algorithm for Minimum Weight. 24. 267–270. 4 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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