Xiaoling Duan

1.1k total citations
65 papers, 853 citations indexed

About

Xiaoling Duan is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Xiaoling Duan has authored 65 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Condensed Matter Physics, 34 papers in Electrical and Electronic Engineering and 19 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Xiaoling Duan's work include GaN-based semiconductor devices and materials (34 papers), Semiconductor materials and devices (21 papers) and Ga2O3 and related materials (18 papers). Xiaoling Duan is often cited by papers focused on GaN-based semiconductor devices and materials (34 papers), Semiconductor materials and devices (21 papers) and Ga2O3 and related materials (18 papers). Xiaoling Duan collaborates with scholars based in China, Saudi Arabia and Czechia. Xiaoling Duan's co-authors include Jincheng Zhang, Jing Ning, Yue Hao, Yue Hao, Tielin Wang, Jiabo Chen, Zhaoke Bian, Shenglei Zhao, Xingping Zhou and Yunsheng Ye and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Langmuir.

In The Last Decade

Xiaoling Duan

61 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Duan China 17 514 404 242 225 150 65 853
Mahieddine Lahoubi Algeria 15 701 1.4× 78 0.2× 362 1.5× 191 0.8× 201 1.3× 70 1.2k
Xiao‐Fen Li China 16 336 0.7× 312 0.8× 151 0.6× 343 1.5× 125 0.8× 75 722
Jingyuan Shi China 17 687 1.3× 252 0.6× 202 0.8× 184 0.8× 425 2.8× 63 1.1k
Kejia Wang United States 11 223 0.4× 219 0.5× 184 0.8× 166 0.7× 279 1.9× 21 574
Renli Liang China 18 334 0.6× 410 1.0× 225 0.9× 126 0.6× 306 2.0× 37 661
Akihiro Tsuruta Japan 14 298 0.6× 206 0.5× 142 0.6× 298 1.3× 295 2.0× 54 692
Nursidik Yulianto Indonesia 12 325 0.6× 95 0.2× 67 0.3× 249 1.1× 121 0.8× 29 540
Yuanwei Sun China 19 575 1.1× 122 0.3× 423 1.7× 194 0.9× 786 5.2× 45 1.2k
Jumiah Hassan Malaysia 17 529 1.0× 36 0.1× 347 1.4× 131 0.6× 544 3.6× 80 955
Jitendra Singh India 17 594 1.2× 36 0.1× 157 0.6× 318 1.4× 471 3.1× 66 910

Countries citing papers authored by Xiaoling Duan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Duan. A scholar is included among the top collaborators of Xiaoling Duan 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 Xiaoling Duan. Xiaoling Duan 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.
Yu, Chunxiao, Wenjun Zhao, Xiaoling Duan, et al.. (2025). Stability characteristics of medial meniscus tear in mild varus knee: a finite element analysis. BMC Musculoskeletal Disorders. 26(1). 944–944.
2.
Yu, Chunxiao, Xiaoling Duan, Yu Gou, et al.. (2025). A review of finite element modeling and surgical simulation of meniscal tear in knee joint: progress and challenges. Frontiers in Medicine. 12. 1661943–1661943.
3.
Li, Yunwei, Jiang Liu, Hongyan Wang, et al.. (2025). Functionalized chitosan-derived porous carbon as a promising catalyst in one-pot conversion of soybean oil to biodiesel. Renewable Energy. 245. 122871–122871. 3 indexed citations
4.
Duan, Xiaoling, et al.. (2024). Preparation of chromium-doped ZIFs-8/ZnCo-LDH composite as a acid-base bifunctional catalyst for biodiesel production. Renewable Energy. 238. 121940–121940. 1 indexed citations
5.
Niu, Xiping, et al.. (2024). SiC MOSFET with Integrated SBD Device Performance Prediction Method Based on Neural Network. Micromachines. 16(1). 55–55. 1 indexed citations
6.
Su, Huake, Tao Zhang, Shengrui Xu, et al.. (2024). A Normally-Off Tungsten-Gated p-AlGaN/u-GaN Composite-Channel p-MESFET With Negligible Hysteresis and a High I ON/I OFF Ratio. IEEE Transactions on Electron Devices. 71(7). 4433–4436.
7.
Duan, Xiaoling, et al.. (2024). Bimetallic Ce-Cr doped metal-organic frameworks as a heterogeneous catalyst for highly efficient biodiesel production from insect lipids. Renewable Energy. 224. 120128–120128. 16 indexed citations
8.
Liu, Xinyu, et al.. (2024). Research on Automatic Pipe Cleaning Technology for Natural Gas Medium and Low Pressure Pipelines. Journal of Physics Conference Series. 2834(1). 12153–12153. 2 indexed citations
9.
Duan, Xiaoling, et al.. (2023). GaN JBS Diode Device Performance Prediction Method Based on Neural Network. Micromachines. 14(1). 188–188. 2 indexed citations
10.
Feng, Weiliang, et al.. (2023). Polymer functionalization of biochar-based heterogeneous catalyst with acid-base bifunctional catalytic activity for conversion of the insect lipid into biodiesel. Arabian Journal of Chemistry. 16(7). 104814–104814. 5 indexed citations
11.
Ma, Lan, Shulong Wang, Yuhang Li, Guosheng Wang, & Xiaoling Duan. (2022). The accelerated design of the nanoantenna arrays by deep learning. Nanotechnology. 33(48). 485204–485204. 1 indexed citations
12.
Zhao, Rong, Shulong Wang, Xiaoling Duan, et al.. (2022). Single event effects prediction of MOSFET device using deep learning. Nanotechnology. 33(50). 505204–505204. 4 indexed citations
13.
Zhang, Tao, Yanni Zhang, Juan Lu, et al.. (2022). Current transport mechanism of AlGaN-channel Schottky barrier diode with extremely low leakage current and high blocking voltage of 2.55 kV. Applied Physics Letters. 120(9). 4 indexed citations
14.
Zhao, Rong, Shulong Wang, Xiaoling Duan, et al.. (2022). Prediction of electrical properties of FDSOI devices based on deep learning. Nanotechnology. 33(33). 335203–335203.
15.
Duan, Xiaoling, Cunwen Wang, Tielin Wang, et al.. (2021). Removal of Metal Ions in Phosphoric Acid by Electro-Electrodialysis with Cross-Linked Anion-Exchange Membranes. ACS Omega. 6(48). 32417–32430. 5 indexed citations
16.
Zhang, Tao, Jincheng Zhang, Weihang Zhang, et al.. (2020). Investigation of an AlGaN-channel Schottky barrier diode on a silicon substrate with a molybdenum anode. Semiconductor Science and Technology. 36(4). 44003–44003. 5 indexed citations
17.
Chen, Jiabo, Zhaoke Bian, Zhihong Liu, et al.. (2019). High-performance quasi-vertical GaN Schottky barrier diode with anode selective fluorine treatment. Semiconductor Science and Technology. 34(11). 115019–115019. 16 indexed citations
18.
19.
Xiao, Ming, et al.. (2016). A partly-contacted epitaxial lateral overgrowth method applied to GaN material. Scientific Reports. 6(1). 23842–23842. 9 indexed citations
20.
Duan, Xiaoling, Wenbo Mi, Z.B. Guo, & H.L. Bai. (2013). Magnetoresistance and anomalous Hall effect of reactive sputtered polycrystalline Ti1−xCrxN films. Thin Solid Films. 542. 348–354. 7 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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