Jun Chang

943 total citations
49 papers, 739 citations indexed

About

Jun Chang is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Jun Chang has authored 49 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 15 papers in Electrical and Electronic Engineering and 14 papers in Materials Chemistry. Recurrent topics in Jun Chang's work include Extraction and Separation Processes (11 papers), Metal Extraction and Bioleaching (9 papers) and Corrosion Behavior and Inhibition (7 papers). Jun Chang is often cited by papers focused on Extraction and Separation Processes (11 papers), Metal Extraction and Bioleaching (9 papers) and Corrosion Behavior and Inhibition (7 papers). Jun Chang collaborates with scholars based in China, Saudi Arabia and Italy. Jun Chang's co-authors include C. Srinivasakannan, Zhi Liu, Xiaoyan Xiao, LI Xiao-mei, Guo Lin, Changjiang Yang, Libo Zhang, Jinhui Peng, Lei Guo and Changyuan Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of The Electrochemical Society.

In The Last Decade

Jun Chang

46 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Chang China 16 235 166 141 140 129 49 739
Yifan Du China 19 134 0.6× 221 1.3× 137 1.0× 136 1.0× 239 1.9× 81 1.1k
Yong Cheng China 16 77 0.3× 201 1.2× 49 0.3× 115 0.8× 109 0.8× 50 785
Rui Gong China 12 112 0.5× 145 0.9× 54 0.4× 77 0.6× 237 1.8× 40 673
Jianfeng Yu China 20 148 0.6× 124 0.7× 57 0.4× 286 2.0× 324 2.5× 76 1.3k
Jiangbo Shi China 16 173 0.7× 643 3.9× 46 0.3× 255 1.8× 162 1.3× 28 1.1k
Gengwei Zhang China 23 280 1.2× 311 1.9× 136 1.0× 197 1.4× 213 1.7× 63 1.6k
Man Yuan China 14 111 0.5× 129 0.8× 32 0.2× 111 0.8× 122 0.9× 54 686
Jianfei Liu China 21 102 0.4× 350 2.1× 52 0.4× 156 1.1× 108 0.8× 79 1.1k
Zekun Yang China 19 76 0.3× 147 0.9× 22 0.2× 192 1.4× 108 0.8× 50 1.1k

Countries citing papers authored by Jun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Chang. A scholar is included among the top collaborators of Jun Chang 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 Jun Chang. Jun Chang 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
2.
Guo, Lei, Lei Zhu, Chin‐Hung Lai, et al.. (2024). Mango leaves extract as sustainable corrosion inhibitor for X70 steel in HCl medium: Integrated experimental analysis and computational electronic/atomic-scale simulation. Sustainable materials and technologies. 42. e01167–e01167. 16 indexed citations
3.
Guo, Lei, Lei Zhu, Savaş Kaya, et al.. (2024). Electrochemical and surface investigations of N, S codoped carbon dots as effective corrosion inhibitor for mild steel in acidic solution. Colloids and Surfaces A Physicochemical and Engineering Aspects. 702. 135062–135062. 15 indexed citations
4.
Guo, Lei, Yongbiao Huang, Rui Sun, et al.. (2024). Regulating the Helmholtz plane by trace ionic liquid additive for advanced Al-air battery. Journal of Power Sources. 625. 235672–235672. 7 indexed citations
5.
Ma, Aiyuan, et al.. (2024). Mechanism Analysis and Experimental Research on Leaching Zn from Zinc Oxide Dust with an Ultrasound-Enhanced NH3-NH4Cl-H2O System. Sustainability. 16(7). 2901–2901. 1 indexed citations
6.
Huang, Yongbiao, Lei Guo, Renhui Zhang, et al.. (2024). Extraordinary Corrosion Inhibition of Potassium Stannate and Riboflavin Hybrid Additive on the Al Alloy Anode of Alkaline Al‐Air Batteries. ChemistrySelect. 9(36). 1 indexed citations
7.
Guo, Lei, Yongbiao Huang, Renhui Zhang, et al.. (2024). A self‐regulated shielding layer induced by an electrolyte additive for alkaline Al–air batteries. RSC Advances. 14(44). 32328–32338.
8.
Cui, Hongyou, Changjiang Yang, Yankun Wang, Z. Qin, & Jun Chang. (2024). Study on the mechanism of liquid-phase regulated preparation of battery-grade iron phosphate. Solid State Ionics. 418. 116740–116740. 1 indexed citations
9.
Guo, Lei, Rui Sun, Ting Shang, et al.. (2024). Improvement of Electrochemical Performance with Cetylpyridinium Chloride for the Al Anode of Alkaline Al-Air Batteries. ACS Omega. 9(49). 48004–48013. 6 indexed citations
11.
Yang, Changjiang, et al.. (2023). Ag nanoparticle modified porous Si microspheres as high-performance anodes for Li-ion batteries. Physical Chemistry Chemical Physics. 25(46). 31754–31769. 7 indexed citations
12.
Li, Xuepeng, Dachun Liu, Juan Wang, Jun Chang, & Ziyang Wang. (2023). Experimental Study on the Recovery of Arsenic and Iron from Arsenic–Iron Precipitate by Carbon Thermal Magnetization Reduction. Metals. 13(2). 407–407. 1 indexed citations
13.
Liu, Zuohua, et al.. (2022). Production of electrolytic manganese metal using a new hyperchaotic circuit system. Journal of Materials Research and Technology. 18. 4804–4815. 15 indexed citations
14.
Su, Guang, Zhanyong Guo, Ping Guo, et al.. (2021). Study on the effect of microwave roasting pretreatment on nickel extraction from nickel-containing residue using sulfuric acid. Green Processing and Synthesis. 10(1). 507–517. 3 indexed citations
15.
Chang, Jun, et al.. (2020). Polyacrylonitrile-Based Carbon Fiber as Anode for Manganese Electrowinning: Anode Slime Emission Reduction and Metal Dendrite Control. Journal of The Electrochemical Society. 168(1). 13501–13501. 5 indexed citations
16.
Chang, Jun, et al.. (2019). Optimization of microwave-assisted manganese leaching from electrolyte manganese residue. Green Processing and Synthesis. 9(1). 2–12. 11 indexed citations
17.
Cheng, Hao, Fen Ye, Jun Chang, & Si-Zhan Wu. (2018). In situ synthesis and thermal shock resistance of a cordierite‐mullite composite for solar thermal storage. International Journal of Applied Ceramic Technology. 16(2). 772–780. 21 indexed citations
18.
Chang, Jun, et al.. (2016). Separation of indium from iron in a rotating packed bed contactor using Di-2-ethylhexylphosphoric acid. Separation and Purification Technology. 164. 12–18. 21 indexed citations
19.
Chang, Jun, Changjiang Yang, Junwen Zhou, et al.. (2016). Kinetics of ultrasound-assisted silver leaching from sintering dust using thiourea. Green Processing and Synthesis. 5(1). 31–40. 8 indexed citations
20.
Chang, Jun, Libo Zhang, Jinhui Peng, et al.. (2016). A comparison of ultrasound-augmented and conventional leaching of silver from sintering dust using acidic thiourea. Ultrasonics Sonochemistry. 34. 222–231. 69 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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