Qingnan Jiang

423 total citations
8 papers, 279 citations indexed

About

Qingnan Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Qingnan Jiang has authored 8 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Civil and Structural Engineering. Recurrent topics in Qingnan Jiang's work include Advanced Text Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Topic Modeling (4 papers). Qingnan Jiang is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Topic Modeling (4 papers). Qingnan Jiang collaborates with scholars based in China, United Kingdom and Germany. Qingnan Jiang's co-authors include Min Yang, Xiang Ao, Ruifeng Xu, Lei Chen, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou, A S M Touhidul Hasan and Yuncheng Jiang and has published in prestigious journals such as Neural Networks, IEEE Transactions on Mobile Computing and Multimedia Tools and Applications.

In The Last Decade

Qingnan Jiang

8 papers receiving 266 citations

Peers

Qingnan Jiang

AI

IS

SPS

CNC

CVPR

Mehwish Alam Germany

Nurulhuda Zainuddin Malaysia

Mohsen Mesgar Germany

Lianzhe Huang China

Parminder Bhatia United States

Didier Schwab France

Natalia Ponomareva United States

Géraldine Damnati France

Lujun Zhao China

Mehwish Alam Germany

Qingnan Jiang

106 ×0.4

AI

31 ×0.7

IS

11 ×0.6

SPS

5 ×0.4

CNC

10 ×1.4

CVPR

Citations per year, relative to Qingnan Jiang Qingnan Jiang (= 1×) peers Mehwish Alam

Countries citing papers authored by Qingnan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Qingnan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingnan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingnan Jiang. A scholar is included among the top collaborators of Qingnan Jiang 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 Qingnan Jiang. Qingnan Jiang 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:

8 of 8 papers shown

1.

Chen, Zheyi, Qingnan Jiang, Li-Xian Chen, et al.. (2025). MC-2PF: A Multi-Edge Cooperative Universal Framework for Load Prediction With Personalized Federated Deep Learning. IEEE Transactions on Mobile Computing. 24(6). 5138–5154. 14 indexed citations

2.

Jiang, Qingnan, et al.. (2025). A Hybrid Path Planning Algorithm for Orchard Robots Based on an Improved D* Lite Algorithm. Agriculture. 15(15). 1698–1698. 1 indexed citations

3.

Jiang, Qingnan, et al.. (2021). Toward Aspect-Level Sentiment Modification Without Parallel Data. IEEE Intelligent Systems. 36(1). 75–81. 15 indexed citations

4.

Wang, Shi, Rui Yao, Yikun Zhang, Qingnan Jiang, & Changbin Zhang. (2019). Data augmentation of random grid-hiding for video object segmentation. Multimedia Tools and Applications. 78(16). 23029–23048. 2 indexed citations

5.

Jiang, Qingnan, Lei Chen, Ruifeng Xu, Xiang Ao, & Min Yang. (2019). A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. 6279–6284. 182 indexed citations

6.

Yang, Min, Qingnan Jiang, Ying Shen, et al.. (2019). Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks. 117. 240–248. 39 indexed citations

7.

Zhang, Yikun, Rui Yao, Qingnan Jiang, Changbin Zhang, & Shi Wang. (2019). Video Object Segmentation with Weakly Temporal Information. KSII Transactions on Internet and Information Systems. 13(3). 2 indexed citations

8.

Jiang, Yuncheng, et al.. (2018). A topic BiLSTM model for sentiment classification. 143–147. 24 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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