Mansheng Chu

4.4k total citations · 1 hit paper
210 papers, 3.6k citations indexed

About

Mansheng Chu is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Mansheng Chu has authored 210 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Mechanical Engineering, 139 papers in Biomedical Engineering and 21 papers in Materials Chemistry. Recurrent topics in Mansheng Chu's work include Iron and Steelmaking Processes (186 papers), Metal Extraction and Bioleaching (120 papers) and Metallurgical Processes and Thermodynamics (115 papers). Mansheng Chu is often cited by papers focused on Iron and Steelmaking Processes (186 papers), Metal Extraction and Bioleaching (120 papers) and Metallurgical Processes and Thermodynamics (115 papers). Mansheng Chu collaborates with scholars based in China, Mexico and Japan. Mansheng Chu's co-authors include Zhenggen Liu, Jue Tang, Cong Feng, Jun‐ichiro Yagi, Hongtao Wang, Guiqin Fu, Miaoyong Zhu, Hiroshi Nogami, Wei Zhao and Lihua Gao and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and International Journal of Hydrogen Energy.

In The Last Decade

Mansheng Chu

202 papers receiving 3.5k citations

Hit Papers

Development and progress on hydrogen metallurgy 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansheng Chu China 32 3.2k 2.1k 383 328 102 210 3.6k
Zhengjian Liu China 31 2.4k 0.8× 1.8k 0.8× 756 2.0× 173 0.5× 249 2.4× 181 3.4k
Kexin Jiao China 26 2.0k 0.6× 1.0k 0.5× 321 0.8× 107 0.3× 182 1.8× 157 2.4k
Zhen Wang China 21 1.7k 0.5× 542 0.3× 374 1.0× 354 1.1× 43 0.4× 123 2.1k
Fabrice Patisson France 19 1.0k 0.3× 744 0.4× 194 0.5× 106 0.3× 91 0.9× 54 1.4k
Seetharaman Sridhar United States 31 2.6k 0.8× 390 0.2× 1.1k 2.9× 192 0.6× 149 1.5× 146 3.2k
Desheng Chen China 21 969 0.3× 845 0.4× 175 0.5× 321 1.0× 33 0.3× 92 1.5k
Ibrahim I. El-Sharkawy Egypt 40 3.1k 1.0× 456 0.2× 294 0.8× 215 0.7× 179 1.8× 99 3.8k
Yasushi Sasaki Japan 27 1.4k 0.4× 535 0.3× 332 0.9× 205 0.6× 55 0.5× 154 2.0k
Shigeru Ueda Japan 30 2.1k 0.6× 583 0.3× 399 1.0× 299 0.9× 71 0.7× 197 2.6k
Lauri Holappa Finland 25 1.6k 0.5× 420 0.2× 520 1.4× 172 0.5× 54 0.5× 96 1.9k

Countries citing papers authored by Mansheng Chu

Since Specialization
Citations

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

Fields of papers citing papers by Mansheng Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansheng Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Mansheng Chu. A scholar is included among the top collaborators of Mansheng Chu 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 Mansheng Chu. Mansheng Chu 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.
Huang, Yun, et al.. (2025). Effect mechanism of vanadium on reduction sticking behavior of iron ore pellets in hydrogen-based shaft furnace. Journal of Iron and Steel Research International. 32(8). 2308–2319.
2.
Tian, Hongyu, et al.. (2024). Effect of manganese ore and basicity on the consolidation characteristic of nickel‑chromium iron ore pellets. Powder Technology. 435. 119362–119362. 4 indexed citations
3.
Tang, Jue, et al.. (2024). A DFT study on the reaction mechanism of H2 and CO with Fe3O4 in hydrogen-based shaft furnace. Powder Technology. 452. 120549–120549. 2 indexed citations
4.
Tian, Hongyu, Mansheng Chu, Jian Pan, et al.. (2024). Smelting characteristics of nickel‑chromium‑manganese bearing prereduced pellets for the preparation of nickel saving austenite stainless steel master alloys. Powder Technology. 441. 119862–119862. 3 indexed citations
5.
Tang, Jue, et al.. (2024). Density functional theory study on the interaction of H2 and CO with Fe2O3 based on hydrogen-based shaft furnace process. International Journal of Hydrogen Energy. 70. 39–52. 7 indexed citations
6.
Tang, Jue, et al.. (2024). Preparation of Oxidized Pellets of Vanadium Titanium Magnetite and Direct Reduction Behavior in Hydrogen‐Based Shaft Furnace. steel research international. 96(2). 5 indexed citations
7.
Tang, Jue, et al.. (2024). Melting Separation of Metalized Pellets of Vanadium–Titanium Magnetite. steel research international. 96(7). 1 indexed citations
8.
Chen, Fu‐Rong, et al.. (2023). Effect of magnetite addition to ilmenite on hydrogen-rich reduction of its oxidized powder. International Journal of Hydrogen Energy. 48(91). 35502–35515. 7 indexed citations
9.
Liu, Peijun, et al.. (2023). Silicate slag system in carbothermal reduction of stainless steel dust: Strengthening mechanism and stable regulation. Materials Chemistry and Physics. 304. 127850–127850. 6 indexed citations
10.
Chen, Fu‐Rong, et al.. (2023). Effects of pre-oxidation on the hydrogen-rich reduction of Panzhihua ilmenite concentrate powder: Reduction kinetics and mechanism. International Journal of Hydrogen Energy. 48(36). 13415–13429. 21 indexed citations
11.
Tang, Jue, et al.. (2023). Sticking Behavior of Pellets During Direct Reduction Based on Hydrogen Metallurgy: An Optimization Approach Using Response Surface Methodology. Journal of Sustainable Metallurgy. 9(3). 1139–1154. 11 indexed citations
12.
Tang, Jue, et al.. (2023). Sticking Behavior of Burdens During Reduction Process in Gas‐Based Shaft Furnaces. steel research international. 95(3). 5 indexed citations
13.
Tang, Jue, et al.. (2023). Effects of MgO/Al2O3 and CaO/SiO2 ratios on viscosity of high titanium-bearing blast furnace slag. Journal of Iron and Steel Research International. 30(3). 456–464. 18 indexed citations
14.
Zhang, Zedong, et al.. (2023). Effects of Shaft Tuyere Parameters on Gas Movement Behavior and Burden Reduction in Oxygen Blast Furnace. Sustainability. 15(12). 9159–9159. 1 indexed citations
15.
Tang, Jue, et al.. (2023). Evaluation, Prediction, and Feedback of Blast Furnace Hearth Activity Based on Data‐Driven Analysis and Process Metallurgy. steel research international. 95(2). 6 indexed citations
16.
17.
Tang, Jue, et al.. (2023). Effect of TiO2 during Oxidation Roasting Process of Pellet: Kinetic Mechanism and Microstructure. steel research international. 95(3). 1 indexed citations
18.
Tang, Jue, et al.. (2023). Optimal Process Parameters for Direct Carbothermal Reduction of Vanadium–Titanium Magnetite in a Rotary Kiln. steel research international. 94(12). 8 indexed citations
19.
Chu, Mansheng, et al.. (2020). Prediction and Optimization of Blast Furnace Parameters Based on Machine Learning and Genetic Algorithm. Journal of Northeastern University. 41(9). 1262. 2 indexed citations
20.
Tang, Jue, et al.. (2013). Preparation of Oxidized Pellets with High Chromium Vanadium-Titanium Magnetite. Journal of Northeastern University. 545–550. 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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