Dan Feng

13.5k total citations · 3 hit papers
572 papers, 9.2k citations indexed

About

Dan Feng is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Dan Feng has authored 572 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 425 papers in Computer Networks and Communications, 155 papers in Information Systems and 134 papers in Hardware and Architecture. Recurrent topics in Dan Feng's work include Advanced Data Storage Technologies (339 papers), Caching and Content Delivery (224 papers) and Parallel Computing and Optimization Techniques (127 papers). Dan Feng is often cited by papers focused on Advanced Data Storage Technologies (339 papers), Caching and Content Delivery (224 papers) and Parallel Computing and Optimization Techniques (127 papers). Dan Feng collaborates with scholars based in China, United States and Canada. Dan Feng's co-authors include Zhangyang Wang, Hong Jiang, Xiulian Peng, Jizheng Xu, Boyi Li, Yu Hua, Lei Tian, Boyi Li, Dacheng Tao and Wenjun Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Proceedings of the IEEE.

In The Last Decade

Dan Feng

500 papers receiving 8.9k 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.

AOD-Net: All-in-One Dehazing Network

2017 1.4k citations Dan Feng et al. profile →
Benchmarking Single-Image Dehazing and Beyond

2018 1.4k citations Dan Feng et al. profile →
Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity

2011 285 citations Hong Jiang, Dan Feng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Feng China	40	4.2k	3.4k	2.4k	1.5k	1.4k	572	9.2k
Tao Li China	38	1.3k 0.3×	2.5k 0.7×	758 0.3×	602 0.4×	1.2k 0.9×	287	6.6k
Pan Zhou China	47	2.6k 0.6×	3.5k 1.0×	1.1k 0.5×	700 0.5×	2.6k 1.9×	337	9.6k
Sy‐Yen Kuo Taiwan	41	2.5k 0.6×	979 0.3×	1.5k 0.6×	330 0.2×	1.2k 0.9×	485	7.2k
Jiajun Bu China	47	2.3k 0.5×	3.1k 0.9×	2.2k 0.9×	622 0.4×	3.7k 2.7×	369	8.8k
Qun Li China	54	6.3k 1.5×	1.4k 0.4×	2.0k 0.8×	948 0.6×	1.9k 1.4×	366	10.1k
Chun Chen China	49	2.0k 0.5×	3.3k 1.0×	2.1k 0.9×	606 0.4×	3.4k 2.5×	331	9.1k
Wenzhong Guo China	39	1.4k 0.3×	1.4k 0.4×	872 0.4×	359 0.2×	1.9k 1.4×	271	5.3k
L.M. Patnaik India	24	951 0.2×	1.3k 0.4×	595 0.2×	195 0.1×	2.0k 1.5×	304	6.3k
Alex X. Liu United States	56	5.7k 1.4×	1.6k 0.5×	2.0k 0.8×	1.2k 0.8×	2.8k 2.0×	352	12.1k
Alireza Jolfaei Australia	43	2.2k 0.5×	1.1k 0.3×	1.5k 0.6×	154 0.1×	2.1k 1.5×	212	6.3k

Countries citing papers authored by Dan Feng

Since Specialization

Citations

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

Fields of papers citing papers by Dan Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Feng

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

Hu, Yuchong, et al.. (2025). Optimizing encoding and repair for wide-stripe minimum bandwidth regenerating codes in in-memory key-value stores. Journal of Systems Architecture. 161. 103369–103369.

2.

Wu, Lin, et al.. (2025). Efficient intrusion detection via heterogeneous graph attention networks and parallel provenance analysis. Computer Networks. 270. 111552–111552.

3.

Lü, Ying, et al.. (2025). A new method for Tomicus classification of forest pests based on improved ResNet50 algorithm. Scientific Reports. 15(1). 9665–9665. 1 indexed citations

4.

Zhou, Hai & Dan Feng. (2025). Make Updates Faster: A Fast Multi-Stripe Updates Framework in Erasure-Coded Storage Clusters. 2251–2265.

5.

Feng, Dan, et al.. (2024). A fragmentation-aware redundancy elimination scheme for inline backup systems. Future Generation Computer Systems. 156. 53–63.

6.

Li, Xiang, et al.. (2024). SERT and OCT mediate 5-HT1B receptor regulation of immobility behavior and uptake of 5-HT and HIS. Biomedicine & Pharmacotherapy. 177. 117017–117017.

7.

Hu, Yuchong, et al.. (2024). ADTopk: All-Dimension Top-k Compression for High-Performance Data-Parallel DNN Training. 135–147. 1 indexed citations

8.

Wang, Fang, et al.. (2024). CoFS: A Collaboration-Aware Fairness Scheme for NVMe SSD in Cloud Storage System. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(12). 4490–4504. 1 indexed citations

9.

An, Hang, et al.. (2024). A Scalable and Write-Optimized Disaggregated B+-Tree With Adaptive Cache Assistance. IEEE Transactions on Cloud Computing. 12(4). 1074–1087.

10.

Khan, Arijit, et al.. (2024). Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 37(1). 408–422. 1 indexed citations

11.

Feng, Dan, et al.. (2024). UAV-Assisted Adaptive Relay Nodes Placement for Network Connectivity Recovery in WSNs. 1507–1514. 1 indexed citations

12.

Li, Yongping, et al.. (2023). Dispersal Behavior Characters of Spodoptera frugiperda Larvae. Insects. 14(6). 488–488. 13 indexed citations

13.

Feng, Dan, et al.. (2019). Exploring Improvisational Approaches to Social Knowledge Acquisition. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1060–1068.

14.

Wang, Fang, et al.. (2018). Host-based scheduling: Achieving near-optimal transport for datacenter networks. Computer Networks. 143. 49–61.

15.

Jiang, Hong, Fang Wang, Yu Hua, et al.. (2018). Using High-Bandwidth Networks Efficiently for Fast Graph Computation. IEEE Transactions on Parallel and Distributed Systems. 30(5). 1170–1183. 50 indexed citations

16.

Xia, Wen, Chunguang Li, Hong Jiang, et al.. (2015). Edelta: a word-enlarging based fast delta compression approach. 7–7. 5 indexed citations

17.

Hua, Yu, Dan Feng, Hong Jiang, & Lei Tian. (2007). RBF: a new storage structure for space-efficient queries for multidimensional metadata in OSS. File and Storage Technologies. 9–9. 2 indexed citations

18.

Tian, Lei, Dan Feng, Hong Jiang, et al.. (2007). PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems. File and Storage Technologies. 32–32. 83 indexed citations

19.

Yue, Yinliang, Fang Wang, & Dan Feng. (2007). iRBO: Intelligent Role-Based Object for Object-Based Storage Device. 257–261.

20.

Feng, Dan. (2006). High Performance Mass Storage System Based on Network Attached Disk Array. Journal of Chinese Computer Systems.

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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