Junlan Feng

2.6k total citations · 1 hit paper
121 papers, 1.6k citations indexed

About

Junlan Feng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junlan Feng has authored 121 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 18 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junlan Feng's work include Topic Modeling (38 papers), Speech and dialogue systems (30 papers) and Natural Language Processing Techniques (27 papers). Junlan Feng is often cited by papers focused on Topic Modeling (38 papers), Speech and dialogue systems (30 papers) and Natural Language Processing Techniques (27 papers). Junlan Feng collaborates with scholars based in China, United States and Pakistan. Junlan Feng's co-authors include Luciano Barbosa, Yanlei Ma, Dilek Hakkani‐Tür, Huanlong Qin, Aslı Çelikyılmaz, Wenhao Weng, Chao Deng, Huanlong Qin, Yongzhi Yang and Zhijian Ou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Junlan Feng

100 papers receiving 1.5k citations

Hit Papers

Robust Sentiment Detection on Twitter from Biased and Noi... 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust Sentiment Detection on Twitter from Biased and Noisy Data
    2010 564 citations Luciano Barbosa, Junlan Feng International Conference on Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlan Feng China 19 920 313 218 139 122 121 1.6k
Xu An Wang China 18 757 0.8× 636 2.0× 124 0.6× 110 0.8× 71 0.6× 222 1.5k
Yun Xiong China 21 779 0.8× 420 1.3× 245 1.1× 244 1.8× 45 0.4× 116 1.4k
Qinke Peng China 15 332 0.4× 216 0.7× 314 1.4× 46 0.3× 115 0.9× 94 929
Yuliang Shi China 18 359 0.4× 414 1.3× 219 1.0× 51 0.4× 127 1.0× 148 1.3k
Yue Lu China 18 913 1.0× 340 1.1× 146 0.7× 78 0.6× 28 0.2× 80 2.0k
Jiawei Jiang China 20 650 0.7× 180 0.6× 128 0.6× 42 0.3× 54 0.4× 92 1.2k
Keon Myung Lee South Korea 19 499 0.5× 193 0.6× 288 1.3× 16 0.1× 104 0.9× 137 1.7k
Michael Cochez Germany 16 881 1.0× 228 0.7× 277 1.3× 48 0.3× 25 0.2× 46 1.6k

Countries citing papers authored by Junlan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Junlan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlan Feng

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

All Works

20 of 20 papers shown
1.
Huang, Z., Tong Li, Xing Wang, et al.. (2025). Predicting Mobile App Usage With Context-Aware Dynamic Hypergraphs. IEEE Transactions on Mobile Computing. 24(6). 5511–5524.
2.
3.
Wang, Pinghui, Junzhou Zhao, Tao Jing, et al.. (2025). Building Accurate and Interpretable Online Classifiers on Edge Devices. IEEE Transactions on Parallel and Distributed Systems. 36(8). 1779–1796. 1 indexed citations
4.
5.
Wang, Huandong, et al.. (2024). KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction. ACM Transactions on Intelligent Systems and Technology. 15(6). 1–22. 3 indexed citations
6.
Zhu, Yinghao, Xiaochen Zheng, Junlan Feng, et al.. (2024). EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation. 3549–3559. 8 indexed citations
7.
Yao, Lei, Da Guo, Xing Wang, et al.. (2023). A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification. International Journal of Machine Learning and Cybernetics. 15(3). 863–877.
8.
Qin, Jiarui, et al.. (2023). Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. 204–212. 6 indexed citations
9.
Wang, Huandong, Tong Li, Xinghao Yang, et al.. (2023). Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4195–4206. 20 indexed citations
10.
Zhu, Lin, et al.. (2023). Network Topology Optimization via Deep Reinforcement Learning. IEEE Transactions on Communications. 71(5). 2847–2859. 26 indexed citations
11.
Liu, Hong, et al.. (2023). Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 970–984. 12 indexed citations
12.
Ma, Weizhi, et al.. (2023). Two-sided Calibration for Quality-aware Responsible Recommendation. 223–233. 4 indexed citations
13.
Liu, Yu, Tong Li, Haoye Chai, et al.. (2023). Empowering Spatial Knowledge Graph for Mobile Traffic Prediction. 1–11. 30 indexed citations
14.
Liu, Hong, Hao Peng, Zhijian Ou, et al.. (2022). Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset. 75–84. 2 indexed citations
15.
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Ali, Zafar, Yi Huang, Irfan Ullah, et al.. (2022). Deep Learning for Medication Recommendation: A Systematic Survey. Data Intelligence. 5(2). 303–354. 23 indexed citations
17.
Wu, Xiaoting, Si Chen, Wei Hu, et al.. (2022). CMCC: A Comprehensive and Large-Scale Human-Human Dataset for Dialogue Systems. 48–61. 1 indexed citations
18.
Barbosa, Luciano & Junlan Feng. (2010). Robust Sentiment Detection on Twitter from Biased and Noisy Data. International Conference on Computational Linguistics. 36–44. 564 indexed citations breakdown →
19.
Feng, Junlan, et al.. (2008). WebTrack: Mining and Tracking Content and Structure of Websites.. 667–673.
20.
Feng, Junlan, et al.. (2007). Varying-coefficient Regression Models with Different Smoothing Variables. Acta Mathematicae Applicatae Sinica English Series. 1 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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