Cong Feng

68 total papers · 1.3k total citations
49 papers, 1.0k citations indexed

About

Cong Feng is a scholar working on Mechanical Engineering, Biomedical Engineering and Surgery. According to data from OpenAlex, Cong Feng has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 22 papers in Biomedical Engineering and 8 papers in Surgery. Recurrent topics in Cong Feng's work include Metallurgical Processes and Thermodynamics (19 papers), Iron and Steelmaking Processes (18 papers) and Metal Extraction and Bioleaching (14 papers). Cong Feng is often cited by papers focused on Metallurgical Processes and Thermodynamics (19 papers), Iron and Steelmaking Processes (18 papers) and Metal Extraction and Bioleaching (14 papers). Cong Feng collaborates with scholars based in China, Mexico and Ukraine. Cong Feng's co-authors include Mansheng Chu, Zhenggen Liu, Jue Tang, Feng Li, Yusheng Zhou, Lihua Gao, Yating Tang, Hongtao Wang, Wei Zhao and Xiangdong Zhu and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Cong Feng

48 papers receiving 1.0k citations

Hit Papers

Development and progress ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cong Feng 765 585 120 103 37 49 1.0k
Zhe Wang 778 1.0× 266 0.5× 193 1.6× 39 0.4× 30 0.8× 60 1.1k
Deming Zhang 186 0.2× 621 1.1× 82 0.7× 31 0.3× 34 0.9× 40 1.0k
Murat Doğru 201 0.3× 591 1.0× 66 0.6× 68 0.7× 34 0.9× 28 1.1k
Yansong Liu 303 0.4× 210 0.4× 87 0.7× 54 0.5× 68 1.8× 32 862
Zhucheng Huang 646 0.8× 609 1.0× 131 1.1× 239 2.3× 31 0.8× 46 1.0k
Mohammed Algarni 508 0.7× 329 0.6× 196 1.6× 31 0.3× 87 2.4× 48 983
Kazuya Kunitomo 961 1.3× 398 0.7× 113 0.9× 42 0.4× 7 0.2× 67 1.1k
Paweł Sobieszuk 249 0.3× 596 1.0× 98 0.8× 227 2.2× 49 1.3× 46 876
Takahiro Murakami 335 0.4× 687 1.2× 103 0.9× 27 0.3× 25 0.7× 50 917
Fang Xie 282 0.4× 255 0.4× 346 2.9× 113 1.1× 47 1.3× 84 1.0k

Countries citing papers authored by Cong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Feng. A scholar is included among the top collaborators of Cong 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 Cong Feng. Cong Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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