Min Ji

2.3k total citations
81 papers, 1.9k citations indexed

About

Min Ji is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Min Ji has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Artificial Intelligence. Recurrent topics in Min Ji's work include Advanced Computational Techniques and Applications (5 papers), Advanced Chemical Physics Studies (5 papers) and Nanocluster Synthesis and Applications (4 papers). Min Ji is often cited by papers focused on Advanced Computational Techniques and Applications (5 papers), Advanced Chemical Physics Studies (5 papers) and Nanocluster Synthesis and Applications (4 papers). Min Ji collaborates with scholars based in China, United States and Bangladesh. Min Ji's co-authors include Xiao Gu, X. G. Gong, Cai‐Zhuang Wang, Xin-Gao Gong, Renata M. Wentzcovitch, Koichiro Umemoto, Shihao Wei, Fuding Xie, Kai‐Ming Ho and Lai‐Sheng Wang and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Journal of Applied Physics.

In The Last Decade

Min Ji

71 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Ji China 26 965 349 240 198 178 81 1.9k
Subir K. Das India 30 1.3k 1.3× 183 0.5× 316 1.3× 214 1.1× 170 1.0× 132 2.6k
Aiguo Li China 25 944 1.0× 340 1.0× 478 2.0× 196 1.0× 289 1.6× 160 2.6k
Peter Nagel Germany 26 604 0.6× 277 0.8× 634 2.6× 141 0.7× 529 3.0× 86 2.5k
Akira Kato Japan 29 833 0.9× 252 0.7× 488 2.0× 791 4.0× 267 1.5× 224 2.9k
Bingqing Cheng Austria 22 1.3k 1.3× 406 1.2× 42 0.2× 204 1.0× 253 1.4× 55 2.1k
Hisashi Hayashi Japan 24 569 0.6× 535 1.5× 70 0.3× 150 0.8× 226 1.3× 156 2.2k
A. T. Skjeltorp Norway 24 819 0.8× 402 1.2× 244 1.0× 150 0.8× 206 1.2× 84 2.4k
Samuel S. Schoenholz United States 18 2.0k 2.1× 251 0.7× 148 0.6× 365 1.8× 280 1.6× 36 2.8k
Phillip M. Duxbury United States 29 1.7k 1.8× 494 1.4× 364 1.5× 221 1.1× 589 3.3× 75 3.6k
Danny C. Price Australia 28 354 0.4× 212 0.6× 254 1.1× 313 1.6× 223 1.3× 150 2.5k

Countries citing papers authored by Min Ji

Since Specialization
Citations

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

Fields of papers citing papers by Min Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ji. A scholar is included among the top collaborators of Min Ji 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 Min Ji. Min Ji 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, Lijun, Huaihong Cai, Min Ji, et al.. (2025). Recent advances in intelligent sports based on triboelectric nanogenerators. 1(2). 51–66. 5 indexed citations
2.
Ji, Min, Lijun Huang, Ningxiang Wu, et al.. (2025). Highly elastic, lightweight, and high-performance all-aerogel triboelectric nanogenerator for self-powered intelligent fencing training. Materials Science and Engineering R Reports. 165. 101004–101004. 18 indexed citations
3.
Chen, Junyu, et al.. (2025). A multi-modal data-driven meeting room occupancy detection for building energy and spatial optimization. Building and Environment. 282. 113319–113319.
4.
Liu, Di, Jianjun Luo, Lijun Huang, et al.. (2025). Triboelectric nanogenerators as a practical approach for wind energy harvesting: Mechanisms, designs, and applications. Nano Energy. 136. 110767–110767. 9 indexed citations
5.
Liu, Chenyu, et al.. (2025). Charge transformation of hollow mesoporous hydroxyapatite (HM-HAP) and its application in the efficient removal of anionic dyes. Microporous and Mesoporous Materials. 399. 113852–113852.
6.
Ji, Min, Shiqi Weng, Xia Li, et al.. (2024). Revitalizing premature ovarian failure: quercetin counteracts imatinib-induced apoptosis via the PI3K/AKT signaling pathway based on network pharmacology. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(1). 833–842. 2 indexed citations
7.
Su, Liping, et al.. (2024). NEFL Modulates NRN1-Mediated Mitochondrial Pathway to Promote Diacetylmorphine-Induced Neuronal Apoptosis. Molecular Neurobiology. 62(6). 6983–6997. 1 indexed citations
8.
Su, Liping, et al.. (2024). PKCδ modulates SP1 mediated mitochondrial autophagy to exacerbate diacetylmorphine-induced ferroptosis in neurons. International Immunopharmacology. 143(Pt 2). 113468–113468. 1 indexed citations
9.
Li, Mingying, Yuan Xia, Min Ji, et al.. (2023). Mitochondrial apoptosis-related gene polymorphisms are associated with responses to anthracycline-based chemotherapy in acute myeloid leukaemia. Frontiers in Oncology. 13. 1179937–1179937. 1 indexed citations
10.
Chen, Hao, Min Ji, Jianzhang Wu, et al.. (2022). A new radiomics approach combining the tumor and peri-tumor regions to predict lymph node metastasis and prognosis in gastric cancer. Gastroenterology report. 11. goac080–goac080. 9 indexed citations
11.
Jiang, Mengmeng, Yiqian Zhang, Junshen Xu, et al.. (2019). Assessing EGFR gene mutation status in non-small cell lung cancer with imaging features from PET/CT. Nuclear Medicine Communications. 40(8). 842–849. 33 indexed citations
12.
Ji, Min, et al.. (2016). CLUSTERING TIME SERIES BASED ON ORTHOGONAL FUNCTION SYSTEM. Xitong kexue yu shuxue. 36(1). 53. 1 indexed citations
13.
Xie, Fuding, et al.. (2014). A NOVEL VALIDITY INDEX FOR FUZZY CLUSTER. Xitong kexue yu shuxue. 34(9). 1074. 1 indexed citations
14.
Gu, Xiao, Guohong Chen, Min Ji, Yongxin Yao, & Xin-Gao Gong. (2012). Superatomic orbitals in sixteen-coordinate M@Li16 bonded by metallic bonds. Nanoscale. 4(8). 2567–2567. 13 indexed citations
15.
Ji, Min, Cai‐Zhuang Wang, & Kai‐Ming Ho. (2010). Comparing efficiencies of genetic and minima hopping algorithms for crystal structure prediction. Physical Chemistry Chemical Physics. 12(37). 11617–11617. 25 indexed citations
16.
Ji, Min. (2009). Research of medical image classify based on weighted complex network cluster. Jisuanji gongcheng yu sheji. 1 indexed citations
17.
Yao, Yao, et al.. (2009). A first-principles divide-and-conquer approach for electronic structure of large systems and its application to graphene nanoribbons. Journal of Physics Condensed Matter. 21(23). 235501–235501. 22 indexed citations
18.
Dong, Chun‐Juan, Min Ji, & Chunyan Ji. (2009). Micro-RNAs and their potential target genes in leukemia pathogenesis. Cancer Biology & Therapy. 8(3). 200–205. 26 indexed citations
19.
Ji, Min, Xiao Gu, Xi Li, et al.. (2005). Experimental and Theoretical Investigation of the Electronic and Geometrical Structures of the Au32 Cluster. Angewandte Chemie International Edition. 44(43). 7119–7123. 122 indexed citations
20.
Ji, Min. (2002). The Study on Multi-template Electro-atlas. Engineering of Surveying and Mapping.

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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