Ju‐Guang Han

1.9k total citations
85 papers, 1.8k citations indexed

About

Ju‐Guang Han is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Inorganic Chemistry. According to data from OpenAlex, Ju‐Guang Han has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Materials Chemistry, 36 papers in Atomic and Molecular Physics, and Optics and 22 papers in Inorganic Chemistry. Recurrent topics in Ju‐Guang Han's work include Advanced Chemical Physics Studies (32 papers), Boron and Carbon Nanomaterials Research (24 papers) and Inorganic Chemistry and Materials (19 papers). Ju‐Guang Han is often cited by papers focused on Advanced Chemical Physics Studies (32 papers), Boron and Carbon Nanomaterials Research (24 papers) and Inorganic Chemistry and Materials (19 papers). Ju‐Guang Han collaborates with scholars based in China, United States and Canada. Ju‐Guang Han's co-authors include Run‐Ning Zhao, Frank Hagelberg, Jin Wang, Zhaoyu Ren, Yuhua Duan, Jin Wang, Jin Wang, Ping Guo, Liusi Sheng and Yunyu Shi and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Chemical Communications.

In The Last Decade

Ju‐Guang Han

84 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju‐Guang Han China 25 1.1k 984 575 428 179 85 1.8k
Joseph E. Fowler Spain 24 766 0.7× 777 0.8× 239 0.4× 295 0.7× 319 1.8× 56 1.8k
O. A. Mironov United Kingdom 20 561 0.5× 598 0.6× 497 0.9× 550 1.3× 577 3.2× 117 1.8k
Martin Kaiser Germany 21 1.4k 1.3× 223 0.2× 201 0.3× 556 1.3× 115 0.6× 65 2.0k
A. Garcia Spain 20 1.3k 1.2× 281 0.3× 178 0.3× 530 1.2× 97 0.5× 78 1.8k
Takashi Ohhara Japan 20 748 0.7× 173 0.2× 496 0.9× 281 0.7× 399 2.2× 93 1.9k
Truong Ba Tai Belgium 25 1.2k 1.2× 329 0.3× 390 0.7× 257 0.6× 449 2.5× 62 1.6k
Emilio San‐Fabián Spain 21 613 0.6× 925 0.9× 89 0.2× 785 1.8× 257 1.4× 81 1.6k
Christopher G. Bailey United States 31 904 0.9× 1.8k 1.8× 139 0.2× 1.4k 3.2× 60 0.3× 117 3.3k
Uta Schlickum Germany 21 817 0.8× 962 1.0× 100 0.2× 833 1.9× 81 0.5× 40 1.9k
R. Böttcher Germany 22 1.3k 1.2× 178 0.2× 212 0.4× 471 1.1× 130 0.7× 132 1.8k

Countries citing papers authored by Ju‐Guang Han

Since Specialization
Citations

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

Fields of papers citing papers by Ju‐Guang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju‐Guang Han. 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 Ju‐Guang Han. The network helps show where Ju‐Guang Han may publish in the future.

Co-authorship network of co-authors of Ju‐Guang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ju‐Guang Han. A scholar is included among the top collaborators of Ju‐Guang Han 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 Ju‐Guang Han. Ju‐Guang Han 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.
2.
Zhang, Yanjun, et al.. (2017). A simulation investigation on interaction mechanism between Ebola nucleoprotein and VP35 peptide. Journal of Biomolecular Structure and Dynamics. 36(4). 1009–1028. 3 indexed citations
3.
Zhao, Run‐Ning, Rui Chen, Fan Gu, Yanhong Yuan, & Ju‐Guang Han. (2015). A density functional computational investigation on electronic properties of the stable irregular boron fullerenes with 20-56 atoms. International Journal of Quantum Chemistry. 116(6). 421–427. 7 indexed citations
4.
Zhang, Ying, Hang Chen, & Ju‐Guang Han. (2014). Insight into the binding modes of Lassa nucleoprotein complexed with ssRNA by molecular dynamic simulations and free energy calculations. Journal of Biomolecular Structure and Dynamics. 33(5). 946–960. 7 indexed citations
5.
Chen, Jun, et al.. (2013). Conformation-specific dissociative photoionization of oxalyl chloride in the gas phase. Chemical Physics. 416. 26–32. 7 indexed citations
6.
Liang, Li, Dan Li, Hang Chen, & Ju‐Guang Han. (2012). Studies on the binding modes of Lassa nucleoprotein complexed with m7GpppG and dTTP by molecular dynamic simulations and free energy calculations. Journal of Biomolecular Structure and Dynamics. 31(3). 299–315. 8 indexed citations
7.
Zhao, Run‐Ning, Ju‐Guang Han, Jintao Bai, & Liusi Sheng. (2010). The medium-sized charged (n = 7-13) clusters: A relativistic computational investigation. Chemical Physics Letters. 378. 82–87. 2 indexed citations
8.
Han, Ju‐Guang & Frank Hagelberg. (2009). Recent Progress in the Computational Study of Silicon and Germanium Clusters with Transition Metal Impurities. Journal of Computational and Theoretical Nanoscience. 6(2). 257–269. 33 indexed citations
9.
Zhao, Run‐Ning, et al.. (2008). Does the Incoming Oxygen Atom Influence the Geometries and the Electronic and Magnetic Structures of Con Clusters?. The Journal of Physical Chemistry A. 113(1). 360–366. 15 indexed citations
10.
Han, Ju‐Guang, Run‐Ning Zhao, & Yuhua Duan. (2007). Geometries, Stabilities, and Growth Patterns of the Bimetal Mo2-doped Sin (n = 9−16) Clusters:  A Density Functional Investigation. The Journal of Physical Chemistry A. 111(11). 2148–2155. 71 indexed citations
11.
Wang, Jin & Ju‐Guang Han. (2006). Geometries and Electronic Properties of the Tungsten-Doped Germanium Clusters:  WGen (n = 1−17). The Journal of Physical Chemistry A. 110(46). 12670–12677. 74 indexed citations
12.
Wang, Jin & Ju‐Guang Han. (2006). A Theoretical Study on Growth Patterns of Ni-Doped Germanium Clusters. The Journal of Physical Chemistry B. 110(15). 7820–7827. 72 indexed citations
13.
Zhao, Run‐Ning, et al.. (2006). Geometries and Electronic Properties of the Neutral and Charged Rare Earth Yb-Doped Sin (n = 1−6) Clusters:  A Relativistic Density Functional Investigation. The Journal of Physical Chemistry A. 110(11). 4071–4079. 35 indexed citations
14.
Wang, Jin & Ju‐Guang Han. (2005). Geometries, stabilities, and electronic properties of different-sized ZrSin (n=1–16) clusters: A density-functional investigation. The Journal of Chemical Physics. 123(6). 64306–64306. 90 indexed citations
15.
Ren, Zhaoyu, Feng Li, Ping Guo, & Ju‐Guang Han. (2005). A computational investigation of the Ni-doped Si (n=1−8) clusters by a density functional method. Journal of Molecular Structure THEOCHEM. 718(1-3). 165–173. 36 indexed citations
16.
Han, Ju‐Guang & Jorge A. Morales. (2005). by density functional theory methods. 1 indexed citations
17.
Han, Ju‐Guang & Jorge A. Morales. (2005). A theoretical investigation on the clusters by density functional theory methods. Chemical Physics. 323(2-3). 249–258. 2 indexed citations
18.
Han, Ju‐Guang & Jorge A. Morales. (2004). A theoretical investigation on fullerene-like phosphorus clusters. Chemical Physics Letters. 396(1-3). 27–33. 26 indexed citations
19.
Han, Ju‐Guang & Frank Hagelberg. (2001). A density functional investigation of MoSin (n=1–6) clusters. Journal of Molecular Structure THEOCHEM. 549(1-2). 165–180. 62 indexed citations
20.
Han, Ju‐Guang & Frank Hagelberg. (2001). A density functional theory investigation of CrSin (n=1–6) clusters. Chemical Physics. 263(2-3). 255–262. 93 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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