Xiaofan Feng

816 total citations
59 papers, 570 citations indexed

About

Xiaofan Feng is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaofan Feng has authored 59 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 21 papers in Atomic and Molecular Physics, and Optics and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaofan Feng's work include Color Science and Applications (20 papers), Advanced Battery Materials and Technologies (10 papers) and Advancements in Battery Materials (10 papers). Xiaofan Feng is often cited by papers focused on Color Science and Applications (20 papers), Advanced Battery Materials and Technologies (10 papers) and Advancements in Battery Materials (10 papers). Xiaofan Feng collaborates with scholars based in China, United States and Chile. Xiaofan Feng's co-authors include Scott Daly, Hao Pan, Xiaohua Zhao, Ibrahim Sezan, Nanping Deng, John R. Schott, Joanne Ee Mei Teoh, Jia An, Yue Zhao and Chee Kai Chua and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.

In The Last Decade

Xiaofan Feng

53 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofan Feng China 15 250 122 115 97 63 59 570
Xiaomin Liu China 11 81 0.3× 131 1.1× 123 1.1× 67 0.7× 9 0.1× 47 553
Paulo T. Fiadeiro Portugal 12 219 0.9× 200 1.6× 16 0.1× 116 1.2× 79 1.3× 70 558
Sung‐Il Chien South Korea 12 265 1.1× 59 0.5× 124 1.1× 119 1.2× 18 0.3× 77 555
Yunxia Liu China 15 91 0.4× 48 0.4× 524 4.6× 17 0.2× 5 0.1× 52 947
Francisco Pizarro Chile 13 61 0.2× 24 0.2× 279 2.4× 22 0.2× 7 0.1× 55 543
Yu Han China 13 101 0.4× 113 0.9× 90 0.8× 103 1.1× 3 0.0× 52 519
Jyrki Saarinen Finland 13 36 0.1× 185 1.5× 322 2.8× 22 0.2× 9 0.1× 59 506
Ji Ge China 13 216 0.9× 97 0.8× 91 0.8× 101 1.0× 6 0.1× 31 586

Countries citing papers authored by Xiaofan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofan Feng. A scholar is included among the top collaborators of Xiaofan 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 Xiaofan Feng. Xiaofan 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.
Wen, Yu, Zonghang Liu, Hengying Xiang, et al.. (2025). Resilience-driven 3D quasi-vertical fiber networks in composite electrolyte for fast ion-conduction and stress self-adaptation in all-solid-state batteries. Energy storage materials. 80. 104403–104403. 3 indexed citations
2.
Yu, Wen, Xiaofan Feng, Fan Zhang, et al.. (2025). A review of strategies for promoting rapid dissociation of lithium salts from multiple perspectives for solid state electrolytes. Energy storage materials. 81. 104513–104513. 1 indexed citations
3.
Wen, Yu, et al.. (2025). Phase‐Change Organic Small Molecules Enable Operation at Room Temperature in All‐Solid‐State Lithium‐Metal Pouch Cells. Advanced Functional Materials. 36(16). 1 indexed citations
4.
Tian, Ying, Tianwei Liu, Xiaofan Feng, et al.. (2024). A review of Al-based material dopants for high-performance solid state lithium metal batteries. Journal of Energy Chemistry. 98. 244–261. 7 indexed citations
5.
6.
Deng, Nanping, Yu Wen, Feng Yang, et al.. (2024). Progress and perspectives on the development of inorganic nanofibres/nanowires for functional electrolytes of solid-state lithium metal batteries. Inorganic Chemistry Frontiers. 11(20). 6753–6793. 1 indexed citations
7.
Wen, Yu, Hengying Xiang, Xiaofan Feng, et al.. (2024). The multi-scale dissipation mechanism of composite solid electrolyte based on nanofiber elastomer for all-solid-state lithium metal batteries. Journal of Colloid and Interface Science. 682. 1073–1084. 1 indexed citations
8.
Deng, Nanping, Xiaofan Feng, Feng Yang, et al.. (2023). Design, preparation, application of advanced array structured materials and their action mechanism analyses for high performance lithium-sulfur batteries. Journal of Energy Chemistry. 89. 266–303. 19 indexed citations
9.
Zhao, Xiaohua, Haijian Li, Xuewei Li, et al.. (2021). Development and application of connected vehicle technology test platform based on driving simulator: Case study. Accident Analysis & Prevention. 161. 106330–106330. 25 indexed citations
10.
Jiang, Tianyi, Yuanyuan Shi, Yufei Pan, et al.. (2019). RPB5‐Mediating Protein Promotes Cholangiocarcinoma Tumorigenesis and Drug Resistance by Competing With NRF2 for KEAP1 Binding. Hepatology. 71(6). 2005–2022. 20 indexed citations
11.
Chen, Xu, et al.. (2015). Real-time affine invariant gesture recognition for LED smart lighting control. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9399. 939906–939906. 1 indexed citations
12.
Xu, Xinyu, Peter van Beek, & Xiaofan Feng. (2014). High-speed object matching and localization using gradient orientation features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9025. 902507–902507. 3 indexed citations
13.
Sharma, Gaurav, et al.. (2011). Efficient Computation of Display Gamut Volumes in Perceptual Spaces. Color and Imaging Conference. 19(1). 132–138. 7 indexed citations
14.
Feng, Xiaofan & Yasuhiro Yoshida. (2008). Improving the Gray Tracking Performance of LCD. Conference on Colour in Graphics Imaging and Vision. 4(1). 327–330. 2 indexed citations
15.
Li, Feng, Xiaofan Feng, Ibrahim Sezan, & Scott Daly. (2007). 66.1: Distinguished Student Paper : Deriving LED Driving Signal for Area‐Adaptive LED Backlight in High Dynamic Range LCD Displays. SID Symposium Digest of Technical Papers. 38(1). 1794–1797. 11 indexed citations
16.
Feng, Xiaofan, Hao Pan, & Scott Daly. (2007). 26.2: Comparison of Motion Blur Measurement in LCD. SID Symposium Digest of Technical Papers. 38(1). 1126–1129. 5 indexed citations
17.
Feng, Xiaofan & Scott Daly. (2003). Automatic JPEG Compression Using a Color Visual Model.. PICS. 29–32. 2 indexed citations
18.
Feng, Xiaofan, et al.. (2002). Halftone Quality Evaluation Using Color Visual Models.. PICS. 5–10. 2 indexed citations
19.
Jin, E., Xiaofan Feng, & John Newell. (1998). The Development of A Color Visual Difference Model (CVDM).. PICS. 154–158. 14 indexed citations
20.
Feng, Xiaofan, et al.. (1993). Comparison of methods for generation of absolute reflectance-factor values for bidirectional reflectance-distribution function studies. Applied Optics. 32(7). 1234–1234. 21 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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