Tiejun Chun

84 total papers · 1.3k total citations
62 papers, 1.1k citations indexed

About

Tiejun Chun is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Tiejun Chun has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Mechanical Engineering, 28 papers in Biomedical Engineering and 12 papers in Materials Chemistry. Recurrent topics in Tiejun Chun's work include Iron and Steelmaking Processes (36 papers), Metal Extraction and Bioleaching (19 papers) and Metallurgical Processes and Thermodynamics (16 papers). Tiejun Chun is often cited by papers focused on Iron and Steelmaking Processes (36 papers), Metal Extraction and Bioleaching (19 papers) and Metallurgical Processes and Thermodynamics (16 papers). Tiejun Chun collaborates with scholars based in China, Canada and United Kingdom. Tiejun Chun's co-authors include Deqing Zhu, Jian Pan, Hongming Long, Zhen He, Qingmin Meng, Jiaxin Li, Lixin Qian, Jinliang Zhang, Dawei Zhu and Liming Lü and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Tiejun Chun

60 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Tiejun Chun 808 474 190 188 91 62 1.1k
Maria Taxiarchou 529 0.7× 375 0.8× 276 1.5× 144 0.8× 104 1.1× 55 1.3k
Fabrice Patisson 992 1.2× 731 1.5× 105 0.6× 193 1.0× 55 0.6× 53 1.4k
Jiann-Yang Hwang 483 0.6× 399 0.8× 175 0.9× 168 0.9× 99 1.1× 33 988
Wei Ding 584 0.7× 422 0.9× 316 1.7× 116 0.6× 145 1.6× 67 973
Jun Cong Ge 273 0.3× 746 1.6× 125 0.7× 278 1.5× 168 1.8× 52 1.4k
Baiqian Dai 457 0.6× 686 1.4× 74 0.4× 208 1.1× 126 1.4× 60 1.3k
Junjie Liao 508 0.6× 499 1.1× 100 0.5× 358 1.9× 90 1.0× 82 1.2k
Zili Yang 691 0.9× 299 0.6× 556 2.9× 87 0.5× 93 1.0× 58 1.2k
Long Han 479 0.6× 835 1.8× 136 0.7× 290 1.5× 136 1.5× 57 1.2k
Yuuki Mochizuki 555 0.7× 466 1.0× 126 0.7× 244 1.3× 66 0.7× 87 989

Countries citing papers authored by Tiejun Chun

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Chun. A scholar is included among the top collaborators of Tiejun Chun 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 Tiejun Chun. Tiejun Chun 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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2026