Jingwu Chen

1.9k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Jingwu Chen is a scholar working on Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Jingwu Chen has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electronic, Optical and Magnetic Materials, 13 papers in Atomic and Molecular Physics, and Optics and 6 papers in Materials Chemistry. Recurrent topics in Jingwu Chen's work include Magnetic Properties of Alloys (19 papers), Magnetic properties of thin films (13 papers) and Magnetic Properties and Applications (7 papers). Jingwu Chen is often cited by papers focused on Magnetic Properties of Alloys (19 papers), Magnetic properties of thin films (13 papers) and Magnetic Properties and Applications (7 papers). Jingwu Chen collaborates with scholars based in China, Saudi Arabia and United States. Jingwu Chen's co-authors include Qing He, Yongchun Zhu, Jindong Wang, Fuzhen Zhuang, Jiang Bian, Guolin Ke, Hui Xiong, Xiaofei Yi, Zhiping Shi and Wenjuan Wu and has published in prestigious journals such as Journal of Non-Crystalline Solids, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jingwu Chen

28 papers receiving 1.4k citations

Hit Papers

Deep Subdomain Adaptation Network for Image Classification 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingwu Chen China 14 573 291 271 248 240 30 1.4k
Xiang Zhong China 21 230 0.4× 757 2.6× 706 2.6× 295 1.2× 153 0.6× 103 2.1k
Song Liu China 19 112 0.2× 281 1.0× 172 0.6× 299 1.2× 86 0.4× 128 1.3k
Yong Gan China 22 218 0.4× 128 0.4× 537 2.0× 545 2.2× 32 0.1× 175 1.8k
Bo He China 27 459 0.8× 528 1.8× 255 0.9× 667 2.7× 21 0.1× 195 2.5k
Woo‐Jin Song South Korea 23 131 0.2× 130 0.4× 59 0.2× 367 1.5× 51 0.2× 102 1.9k
Fan Yang China 21 78 0.1× 307 1.1× 231 0.9× 112 0.5× 140 0.6× 145 1.3k
Baopeng Zhang China 20 273 0.5× 99 0.3× 167 0.6× 528 2.1× 28 0.1× 89 1.6k
Xinyu Liu China 16 256 0.4× 147 0.5× 247 0.9× 480 1.9× 14 0.1× 68 1.3k

Countries citing papers authored by Jingwu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingwu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwu Chen. A scholar is included among the top collaborators of Jingwu Chen 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 Jingwu Chen. Jingwu Chen 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.
Lu, Qingmei, Yubing Qiu, Weiqiang Liu, et al.. (2021). Nd-Fe-B: From sludge waste to powders via purification and modified Ca-reduction reaction process. Journal of Magnetism and Magnetic Materials. 543. 168606–168606. 13 indexed citations
2.
Lu, Qingmei, Weiqiang Liu, Youhao Liu, et al.. (2021). Calcium hydride reduced high-quality Nd–Fe–B powder from Nd–Fe–B sintered magnet sludge. Journal of Rare Earths. 40(12). 1905–1912. 13 indexed citations
3.
Xuan, Haicheng, Jincai Su, Jingwu Chen, et al.. (2021). Improvement of coercivity and thermal stability of Nd-Fe-B sintered magnets by intergranular addition of Tb80Fe20 alloy. Journal of Rare Earths. 40(12). 1899–1904. 9 indexed citations
4.
Xuan, Haicheng, Jincai Su, Jingwu Chen, et al.. (2021). The Effect of Tb80Fe20/Al Co-adding on Coercivity and Thermal Stability in Sintered Nd–Fe–B Magnets. Journal of Superconductivity and Novel Magnetism. 34(12). 3291–3296. 1 indexed citations
5.
Xuan, Haicheng, Jincai Su, Jingwu Chen, et al.. (2021). Effects of Al Nanopowder Intergranular Addition on the Magnetic Properties and Temperature Stability of Sintered Nd-Fe-B Magnet. Journal of Superconductivity and Novel Magnetism. 35(2). 547–553. 5 indexed citations
6.
Wu, Yucheng, Zhiqiang Gao, Guangqing Xu, et al.. (2020). Current Status and Challenges in Corrosion and Protection Strategies for Sintered NdFeB Magnets. Acta Metallurgica Sinica. 57(2). 171–181. 9 indexed citations
7.
Zhu, Yongchun, Fuzhen Zhuang, Jindong Wang, et al.. (2020). Deep Subdomain Adaptation Network for Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 32(4). 1713–1722. 843 indexed citations breakdown →
8.
Cao, Yujie, Pengjie Zhang, Guangqing Xu, et al.. (2020). Study on the Corrosion Resistance of (Nd,Dy)–Fe–B Magnets Obtained by Grain Boundary Diffusion Method. IEEE Transactions on Magnetics. 57(1). 1–6. 4 indexed citations
9.
Wu, Dan, Weiqiang Liu, Ming Yue, et al.. (2019). Coercivity enhancement mechanism of Tb‐diffusion Nd–Fe–B sintered magnets studied by magneto‐optical Kerr optical microscope. Rare Metals. 40(3). 570–574. 17 indexed citations
10.
Zhu, Yongchun, Fuzhen Zhuang, Jindong Wang, et al.. (2019). Multi-representation adaptation network for cross-domain image classification. Neural Networks. 119. 214–221. 205 indexed citations
11.
Chen, Jingwu, et al.. (2019). Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Transactions on Knowledge and Data Engineering. 33(7). 2903–2913.
12.
Zhuang, Fuzhen, et al.. (2018). Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks. 108. 287–295. 12 indexed citations
13.
Yue, Ming, Xiantao Li, Xuliang Li, et al.. (2018). Recycling of Nd–Fe–B Sintered Magnets Sludge via the Reduction–Diffusion Route To Produce Sintered Magnets with Strong Energy Density. ACS Sustainable Chemistry & Engineering. 6(5). 6547–6553. 23 indexed citations
14.
Chen, Jingwu, Fuzhen Zhuang, Xin Hong, et al.. (2018). Attention-driven Factor Model for Explainable Personalized Recommendation. 909–912. 40 indexed citations
15.
Wu, Dan, Ming Yue, Weiqiang Liu, Jingwu Chen, & Xiaofei Yi. (2018). Magnetic domain switching in Nd–Fe–B sintered magnets with superior magnetic properties. Materials Research Letters. 6(4). 255–260. 47 indexed citations
16.
Zhang, Pengjie, Minggang Zhu, Guangqing Xu, et al.. (2018). Study on preparation and properties of CeO 2 /epoxy resin composite coating on sintered NdFeB magnet. Journal of Rare Earths. 36(5). 544–551. 33 indexed citations
17.
Li, Chao, Ming Yue, Weiqiang Liu, et al.. (2014). Recycling of scrap sintered Nd–Fe–B magnets as anisotropic bonded magnets via hydrogen decrepitation process. Journal of Material Cycles and Waste Management. 17(3). 547–552. 14 indexed citations
18.
Liu, Weiqiang, Chao Sun, Ming Yue, et al.. (2013). Improvement of coercivity and corrosion resistance of Nd-Fe-B sintered magnets by doping aluminium nano-particles. Journal of Rare Earths. 31(1). 65–68. 33 indexed citations
19.
Chen, Jingwu & Xian Zhang. (2010). PRINCE2 Based Project Management Maturity Model. 31. 1–4. 3 indexed citations
20.
Chen, Jingwu, et al.. (2009). Research on Supply Chain and Logistics Risk Management Model. 4467–4470. 2 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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