Feng Luo

444 total citations
14 papers, 191 citations indexed

About

Feng Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Feng Luo has authored 14 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Feng Luo's work include Topic Modeling (5 papers), Machine Learning in Healthcare (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Feng Luo is often cited by papers focused on Topic Modeling (5 papers), Machine Learning in Healthcare (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Feng Luo collaborates with scholars based in China, United States and Australia. Feng Luo's co-authors include Latifur Khan, Cheng Wang, Li Chen, Rongrong Ji, Liujuan Cao, Wei Zeng, Jie Gao, Xianfeng Gu, Rik Sarkar and Xiaoli Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Feng Luo

13 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Luo China	5	90	58	44	37	19	14	191
Yang Zou China	8	93 1.0×	22 0.4×	39 0.9×	36 1.0×	8 0.4×	23	220
Thibaut Thonet France	4	90 1.0×	66 1.1×	23 0.5×	9 0.2×	16 0.8×	7	174
Paul Swoboda Germany	10	83 0.9×	127 2.2×	23 0.5×	40 1.1×	12 0.6×	22	248
Tianqi Liu China	7	74 0.8×	57 1.0×	33 0.8×	24 0.6×	6 0.3×	35	194
Sunil Karforma India	10	69 0.8×	113 1.9×	93 2.1×	75 2.0×	5 0.3×	53	276
Shang-Tse Chen United States	8	140 1.6×	85 1.5×	17 0.4×	15 0.4×	6 0.3×	18	214
Sundararajan Sellamanickam United States	7	206 2.3×	126 2.2×	52 1.2×	50 1.4×	9 0.5×	19	296
Shubham Chaudhary India	6	56 0.6×	62 1.1×	80 1.8×	127 3.4×	5 0.3×	26	268
Shubin Zhao China	8	253 2.8×	87 1.5×	52 1.2×	9 0.2×	47 2.5×	28	381
Han Xiao China	7	159 1.8×	42 0.7×	23 0.5×	16 0.4×	11 0.6×	14	248

Countries citing papers authored by Feng Luo

Since Specialization

Citations

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

Fields of papers citing papers by Feng Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Luo

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

14 of 14 papers shown

1.

Luo, Feng, et al.. (2023). A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search. Data Science and Engineering. 8(3). 306–317. 5 indexed citations

2.

Luo, Feng, et al.. (2023). Design of the Speech Emotion Recognition Model. SHILAP Revista de lepidopterología. 86–86. 1 indexed citations

3.

Liu, Yang, et al.. (2023). ShrewdAttack: Low Cost High Accuracy Model Extraction. Entropy. 25(2). 282–282. 1 indexed citations

4.

Li, Mingqi, Fei Ding, Dan Zhang, et al.. (2022). Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. 3097–3106. 2 indexed citations

5.

Yang, Rui, Feng Luo, & Xiu Li. (2021). Combining Hindsight with Goal-enhanced Prediction for Multi-goal Reinforcement Learning. 575. 314–321. 2 indexed citations

6.

Luo, Feng, Yue Zhang, & Xiaoli Wang. (2021). IMAS++. 4754–4758. 2 indexed citations

7.

Luo, Feng, Xiu Li, Bin-Bin Gao, & Jiangpeng Yan. (2021). A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. 1–8. 4 indexed citations

8.

Wang, Xiaoli, Feng Luo, Qingfeng Wu, & Zhifeng Bao. (2021). How Context or Knowledge Can Benefit Healthcare Question Answering. IEEE Transactions on Knowledge and Data Engineering. 1–1. 4 indexed citations

9.

Luo, Feng, et al.. (2020). HQADeepHelper: A Deep Learning System for Healthcare Question Answering. RMIT Research Repository (RMIT University Library). 194–197. 6 indexed citations

10.

Luo, Feng, et al.. (2017). An Analysis of BDS-Based High Precision Positioning System for Autonomous Driving. 564–572. 1 indexed citations

11.

Cao, Liujuan, et al.. (2016). Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning. Pattern Recognition. 64. 417–424. 47 indexed citations

12.

Luo, Feng, et al.. (2015). LIN Flash Bootloader Based on UDS. Journal of Automation and Control Engineering. 3(6). 47–52. 1 indexed citations

13.

Zeng, Wei, Rik Sarkar, Feng Luo, Xianfeng Gu, & Jie Gao. (2010). Resilient Routing for Sensor Networks Using Hyperbolic Embedding of Universal Covering Space. Edinburgh Research Explorer. 3. 1–9. 32 indexed citations

14.

Khan, Latifur & Feng Luo. (2003). Ontology construction for information selection. 122–127. 83 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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