Feng Xiang

1.2k total citations · 2 hit papers
49 papers, 808 citations indexed

About

Feng Xiang is a scholar working on Industrial and Manufacturing Engineering, Aerospace Engineering and Management Information Systems. According to data from OpenAlex, Feng Xiang has authored 49 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Industrial and Manufacturing Engineering, 9 papers in Aerospace Engineering and 7 papers in Management Information Systems. Recurrent topics in Feng Xiang's work include Digital Transformation in Industry (26 papers), Manufacturing Process and Optimization (9 papers) and Radar Systems and Signal Processing (9 papers). Feng Xiang is often cited by papers focused on Digital Transformation in Industry (26 papers), Manufacturing Process and Optimization (9 papers) and Radar Systems and Signal Processing (9 papers). Feng Xiang collaborates with scholars based in China, Sweden and Luxembourg. Feng Xiang's co-authors include Guozhang Jiang, Ying Zuo, Zhi Zhang, Gongfa Li, Fei Tao, Bo Tao, Du Jiang, Ying Sun, Xin Liu and Jianyi Kong and has published in prestigious journals such as The FASEB Journal, Expert Systems with Applications and Journal of Ethnopharmacology.

In The Last Decade

Feng Xiang

42 papers receiving 782 citations

Hit Papers

A systematic review of digital twin about physical entiti... 2023 2026 2024 2025 2023 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Xiang China 14 503 101 87 84 81 49 808
Ping Lou China 18 581 1.2× 93 0.9× 59 0.7× 103 1.2× 130 1.6× 98 1.1k
Haihua Zhu China 17 673 1.3× 56 0.6× 120 1.4× 153 1.8× 84 1.0× 56 994
Roland Rosen Germany 7 898 1.8× 92 0.9× 75 0.9× 79 0.9× 85 1.0× 19 1.1k
José Barbosa Portugal 15 864 1.7× 77 0.8× 106 1.2× 154 1.8× 124 1.5× 71 1.2k
Fengtian Chang China 16 441 0.9× 57 0.6× 70 0.8× 61 0.7× 31 0.4× 42 758
Carla C. Madni United States 7 443 0.9× 72 0.7× 67 0.8× 135 1.6× 69 0.9× 23 763
George Lo United States 8 756 1.5× 80 0.8× 58 0.7× 63 0.8× 71 0.9× 18 1.0k
Alberto Villalonga Spain 15 367 0.7× 44 0.4× 31 0.4× 118 1.4× 70 0.9× 27 667
Peter Hehenberger Austria 13 429 0.9× 62 0.6× 152 1.7× 140 1.7× 51 0.6× 79 741

Countries citing papers authored by Feng Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Xiang. A scholar is included among the top collaborators of Feng Xiang 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 Feng Xiang. Feng Xiang 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.
Wang, Lei, Wenyan Song, Ying Cheng, et al.. (2025). Ten industrial software towards smart manufacturing. Journal of Manufacturing Systems. 79. 255–285. 3 indexed citations
2.
Li, Gongfa, et al.. (2025). Risk response capability assessment for the digital twin-based human–robot collaboration. The International Journal of Advanced Manufacturing Technology. 137(1-2). 297–318.
3.
Li, Gongfa, et al.. (2025). A digital twin-driven method for improving human comfort in human–robot collaboration. The International Journal of Advanced Manufacturing Technology. 137(1-2). 339–359. 2 indexed citations
5.
Liu, Xin, Gongfa Li, Feng Xiang, Bo Tao, & Guozhang Jiang. (2024). Blockchain-based cloud-edge collaborative data management for human-robot collaboration digital twin system. Journal of Manufacturing Systems. 77. 228–245. 7 indexed citations
6.
Liu, Xin, Gongfa Li, Feng Xiang, Bo Tao, & Guozhang Jiang. (2024). Expert opinion aggregation-based decision support for human-robot collaboration digital twin maturity assessment. Journal of Industrial Information Integration. 42. 100710–100710. 6 indexed citations
7.
Li, Gongfa, et al.. (2024). Web-based human-robot collaboration digital twin management and control system. Advanced Engineering Informatics. 62. 102907–102907. 5 indexed citations
8.
Xiang, Feng, Zhimin Zhang, Yamei Li, et al.. (2024). Research progress in the treatment of schistosomiasis with traditional Chinese medicine. Journal of Ethnopharmacology. 333. 118501–118501.
9.
Xiang, Feng, et al.. (2024). Sidelobe Suppression With Low Peak-to-Valley Power Ratio Waveforms in MIMO-OFDM Dual-Function Radar-Communication Systems. IEEE Transactions on Vehicular Technology. 74(4). 5928–5940. 1 indexed citations
10.
Zhao, Yinan, et al.. (2023). Joint Design of Transmitting Waveform and Receiving Filter via Novel Riemannian Idea for DFRC System. Remote Sensing. 15(14). 3548–3548. 8 indexed citations
11.
Zhang, Yongping, et al.. (2023). Variable-Utility-Aware Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms. IEEE Transactions on Systems Man and Cybernetics Systems. 53(10). 6007–6017. 3 indexed citations
12.
Liu, Xin, Du Jiang, Bo Tao, et al.. (2023). A systematic review of digital twin about physical entities, virtual models, twin data, and applications. Advanced Engineering Informatics. 55. 101876–101876. 191 indexed citations breakdown →
13.
Tao, Fei, Xuemin Sun, Jiangfeng Cheng, et al.. (2023). makeTwin: A reference architecture for digital twin software platform. Chinese Journal of Aeronautics. 37(1). 1–18. 72 indexed citations breakdown →
15.
Xiang, Feng, et al.. (2022). A digital twin-driven perception method of manufacturing service correlation based on frequent itemsets. The International Journal of Advanced Manufacturing Technology. 131(11). 5661–5677. 4 indexed citations
16.
Ren, Jiawei, Ying Cheng, Feng Xiang, & Fei Tao. (2022). Platform-Based Manufacturing Service Collaboration: A Supply-Demand Aware Adaptive Scheduling Mechanism. IEEE Transactions on Industrial Informatics. 19(2). 1768–1777. 8 indexed citations
17.
Zhou, Bin, et al.. (2021). Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises. Expert Systems with Applications. 192. 116391–116391. 16 indexed citations
18.
Jiang, Guozhang, et al.. (2018). Sustainable lean redesign of manufacturing enterprises. International Journal of Wireless and Mobile Computing. 15(3). 241–241. 3 indexed citations
19.
Xiang, Feng, et al.. (2017). Cognitive radar waveform design with low range sidelobes and high Doppler tolerance. 78–82. 4 indexed citations
20.
Xiang, Feng, et al.. (2016). Designing Unimodular Waveform with Low Range Sidelobes and Stopband for Cognitive Radar via Relaxed Alternating Projection. International Journal of Antennas and Propagation. 2016. 1–9. 8 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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