Qi Fan

1.3k total citations · 1 hit paper
27 papers, 686 citations indexed

About

Qi Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qi Fan has authored 27 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Qi Fan's work include Advanced Neural Network Applications (6 papers), Robotic Path Planning Algorithms (3 papers) and Cloud Computing and Resource Management (3 papers). Qi Fan is often cited by papers focused on Advanced Neural Network Applications (6 papers), Robotic Path Planning Algorithms (3 papers) and Cloud Computing and Resource Management (3 papers). Qi Fan collaborates with scholars based in China, United States and Hong Kong. Qi Fan's co-authors include Yu‐Wing Tai, Chi–Keung Tang, Wei Zhuo, Deng-Ping Fan, Huazhu Fu, Dongxiang Zhang, Bin Jia, Kian‐Lee Tan, Wenjuan Lian and Huayu Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Proceedings of the VLDB Endowment.

In The Last Decade

Qi Fan

24 papers receiving 667 citations

Hit Papers

align trajectories

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.

Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

2020 390 citations Qi Fan, Wei Zhuo et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Qi Fan

CVPR

AI

CNC

SP

AE

Amir Atapour–Abarghouei United Kingdom

Xiaoqiang Li China

Jingwei Chen China

Zhaoning Zhang China

Yuan Dong China

Feihu Zhang China

Donggyu Joo South Korea

Dawei Li United States

Ningzhong Liu China

Amir Atapour–Abarghouei United Kingdom

Qi Fan

432 ×1.0

CVPR

317 ×1.1

AI

79 ×1.0

CNC

68 ×0.9

SP

62 ×0.8

AE

Citations per year, relative to Qi Fan Qi Fan (= 1×) peers Amir Atapour–Abarghouei

Countries citing papers authored by Qi Fan

Since Specialization

Citations

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

Fields of papers citing papers by Qi Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Fan

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

20 of 20 papers shown

1.

Fan, Qi, Mattia Segù, Bernt Schiele, et al.. (2025). Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation. International Journal of Computer Vision. 133(10). 6768–6793.

2.

Li, Wenbin, Tianyu Ding, Lei Wang, et al.. (2025). ONNXPruner: ONNX-Based General Model Pruning Adapter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5806–5817. 1 indexed citations

3.

Fan, Qi, et al.. (2024). Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation. 24036–24045. 5 indexed citations

4.

Zheng, Peng, Huazhu Fu, Deng-Ping Fan, et al.. (2023). GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 10929–10946. 21 indexed citations

5.

Fan, Qi, Bo Tao, Zeyu Gong, Xingwei Zhao, & Han Ding. (2022). Fast Global Collision Detection Method Based on Feature-Point-Set for Robotic Machining of Large Complex Components. IEEE Transactions on Automation Science and Engineering. 20(1). 470–481. 13 indexed citations

6.

Li, Yiru, et al.. (2022). Low glucose concentration estimation based on reaction with 4,4'-biphenyl boronic acid using deep learning. Highlights in Science Engineering and Technology. 2. 312–321.

7.

Fan, Qi, Fei Song, Arnab Sinha, et al.. (2022). Fine-grained modeling and optimization for intelligent resource management in big data processing. Proceedings of the VLDB Endowment. 15(11). 3098–3111. 8 indexed citations

8.

Song, Fei, et al.. (2021). Spark-based Cloud Data Analytics using Multi-Objective Optimization. 396–407. 6 indexed citations

9.

Lian, Wenjuan, et al.. (2020). An Intrusion Detection Method Based on Decision Tree-Recursive Feature Elimination in Ensemble Learning. Mathematical Problems in Engineering. 2020. 1–15. 61 indexed citations

10.

Lu, Caiwu, et al.. (2020). An open-pit mine roadway obstacle warning method integrating the object detection and distance threshold model. Guangdian gongcheng. 47(1). 190161. 1 indexed citations

11.

Lian, Wenjuan, et al.. (2020). A Blockchain Prediction Model on Time, Value, and Purchase Based on Markov Chain and Queuing Theory in Stock Trade. Mathematical Problems in Engineering. 2020. 1–13. 7 indexed citations

12.

Fan, Qi, Wei Zhuo, Chi–Keung Tang, & Yu‐Wing Tai. (2020). Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4012–4021. 390 indexed citations breakdown →

13.

Zhang, Like, et al.. (2019). ₁GBDT, LR & Deep Learning for Turn-based Strategy Game AI. 1–8. 4 indexed citations

14.

Yu, Xiaoyang, et al.. (2019). Three-dimensional measurement of the thoracoabdominal body surface during respiration using three-dimensional wavelet transform. Optical Engineering. 58(8). 1–1. 2 indexed citations

15.

Fan, Qi & Jiasheng Yang. (2018). A Denoising Autoencoder Approach for Credit Risk Analysis. 62–65. 11 indexed citations

16.

Fan, Qi, et al.. (2017). Research status of operational environment partitioning and path planning for multi - robot systems. Journal of Physics Conference Series. 887. 12080–12080. 1 indexed citations

17.

Fan, Qi, Dongxiang Zhang, Huayu Wu, & Kian‐Lee Tan. (2016). A general and parallel platform for mining co-movement patterns over large-scale trajectories. Proceedings of the VLDB Endowment. 10(4). 313–324. 47 indexed citations

18.

Fan, Qi & Qingyang Wang. (2015). Performance Comparison of Web Servers with Different Architectures: A Case Study Using High Concurrency Workload. Civil War Book Review. 37–42. 15 indexed citations

19.

Fan, Qi, et al.. (2011). A shearer dynamic positioning method using strap down inertial navigation. 1 indexed citations

20.

Fan, Qi & Peter Clarkson. (2005). A robust adaptive estimator of rate for cardiac arrhythmia detection. 1993 IEEE International Symposium on Circuits and Systems. 822–825.

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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