Shujiang Yang

1.2k total citations
20 papers, 1.0k citations indexed

About

Shujiang Yang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Shujiang Yang has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Organic Chemistry. Recurrent topics in Shujiang Yang's work include Advanced Chemical Physics Studies (6 papers), Zeolite Catalysis and Synthesis (5 papers) and Synthesis and Properties of Aromatic Compounds (4 papers). Shujiang Yang is often cited by papers focused on Advanced Chemical Physics Studies (6 papers), Zeolite Catalysis and Synthesis (5 papers) and Synthesis and Properties of Aromatic Compounds (4 papers). Shujiang Yang collaborates with scholars based in United States, Hungary and South Korea. Shujiang Yang's co-authors include Miklós Kertész, Cheol Ho Choi, Estela Blaisten‐Barojas, Mohammed Lach-hab, Iosif I. Vaisman, J. Kürti, Viktor Zólyomi, Dane Morgan, Izabela Szlufarska and V. L. Karen and has published in prestigious journals such as Chemical Reviews, Physical Review B and Macromolecules.

In The Last Decade

Shujiang Yang

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujiang Yang United States 12 478 433 419 229 173 20 1.0k
Masamichi Ikai Japan 18 1.0k 2.2× 167 0.4× 793 1.9× 289 1.3× 250 1.4× 33 1.5k
Luis Enrique Sansores Mexico 19 656 1.4× 355 0.8× 312 0.7× 47 0.2× 196 1.1× 94 1.0k
Qingshan Xie United States 9 755 1.6× 844 1.9× 302 0.7× 125 0.5× 97 0.6× 16 1.2k
David A. Costa United States 13 742 1.6× 834 1.9× 203 0.5× 101 0.4× 105 0.6× 23 1.0k
Samia Zrig France 13 295 0.6× 215 0.5× 251 0.6× 98 0.4× 97 0.6× 27 749
Angelica Lundin Sweden 20 443 0.9× 157 0.4× 715 1.7× 424 1.9× 106 0.6× 23 1.2k
Ligang Bai China 18 539 1.1× 209 0.5× 238 0.6× 123 0.5× 67 0.4× 35 1.0k
Takeo Takizawa Japan 14 566 1.2× 306 0.7× 494 1.2× 72 0.3× 152 0.9× 116 1.0k
Andrzej Eilmes Poland 17 356 0.7× 264 0.6× 427 1.0× 117 0.5× 322 1.9× 85 1.1k
Kei Kurotobi Japan 18 1.2k 2.5× 937 2.2× 343 0.8× 115 0.5× 174 1.0× 30 1.7k

Countries citing papers authored by Shujiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shujiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shujiang Yang. A scholar is included among the top collaborators of Shujiang Yang 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 Shujiang Yang. Shujiang Yang 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.
Luo, Guangfu, et al.. (2017). Understanding and reducing deleterious defects in the metastable alloy GaAsBi. NPG Asia Materials. 9(1). e345–e345. 24 indexed citations
2.
Luo, Guangfu, Shujiang Yang, Izabela Szlufarska, et al.. (2015). First-principles studies on molecular beam epitaxy growth ofGaAs1−xBix. Physical Review B. 92(3). 8 indexed citations
3.
Yang, Shujiang, et al.. (2014). Genetic algorithm optimization of defect clusters in crystalline materials. Computational Materials Science. 98. 234–244. 25 indexed citations
4.
Lockard, Jenny V., et al.. (2012). Ground-State and Excited-State Structures of Tungsten–Benzylidyne Complexes. Inorganic Chemistry. 51(10). 5660–5670. 25 indexed citations
5.
Yang, Shujiang, Mohammed Lach-hab, Iosif I. Vaisman, et al.. (2010). Framework-Type Determination for Zeolite Structures in the Inorganic Crystal Structure Database. Journal of Physical and Chemical Reference Data. 39(3). 23 indexed citations
6.
Yang, Shujiang, Mohammed Lach-hab, Iosif I. Vaisman, & Estela Blaisten‐Barojas. (2009). Identifying Zeolite Frameworks with a Machine Learning Approach. The Journal of Physical Chemistry C. 113(52). 21721–21725. 32 indexed citations
7.
Yang, Shujiang, Mohammed Lach-hab, Estela Blaisten‐Barojas, Xiang Li, & V. L. Karen. (2009). Machine learning study of the heulandite family of zeolites. Microporous and Mesoporous Materials. 130(1-3). 309–313. 9 indexed citations
8.
Yang, Shujiang, Mohammed Lach-hab, Iosif I. Vaisman, & Estela Blaisten‐Barojas. (2008). Machine Learning Approach for Classification of Zeolite Crystals.. 702–706.
9.
Kertész, Miklós & Shujiang Yang. (2008). Energetics of linear carbon chains in one-dimensional restricted environment. Physical Chemistry Chemical Physics. 11(2). 425–430. 24 indexed citations
10.
Lach-hab, Mohammed, et al.. (2008). Machine learning approach for structure-based zeolite classification. Microporous and Mesoporous Materials. 117(1-2). 339–349. 44 indexed citations
11.
Lach-hab, Mohammed, et al.. (2008). Microporous and Mesoporous Materials. 5 indexed citations
12.
Yang, Shujiang, Miklós Kertész, Viktor Zólyomi, & J. Kürti. (2007). Application of a Novel Linear/Exponential Hybrid Force Field Scaling Scheme to the Longitudinal Raman Active Mode of Polyyne. The Journal of Physical Chemistry A. 111(12). 2434–2441. 53 indexed citations
13.
Yang, Shujiang & Miklós Kertész. (2007). Linear Cn Clusters:  Are They Acetylenic or Cumulenic?. The Journal of Physical Chemistry A. 112(1). 146–151. 47 indexed citations
14.
Yang, Shujiang & Miklós Kertész. (2007). Theoretical Design of Low Band Gap Conjugated Polymers through Ladders with Acetylenic Crosspieces. Macromolecules. 40(18). 6740–6747. 11 indexed citations
15.
Kürti, J., et al.. (2006). Structure, Electronic and Vibrational Properties of Small Diameter Carbon Nanotubes. ECS Meeting Abstracts. MA2006-01(19). 718–718. 3 indexed citations
16.
Yang, Shujiang & Miklós Kertész. (2006). Bond Length Alternation and Energy Band Gap of Polyyne. The Journal of Physical Chemistry A. 110(31). 9771–9774. 119 indexed citations
17.
Yang, Shujiang & Miklós Kertész. (2006). Application of the linear/exponential hybrid force field scaling scheme to the bond length alternation modes of polyacetylene. Chemical Physics Letters. 432(1-3). 356–361. 4 indexed citations
18.
Kertész, Miklós, Cheol Ho Choi, & Shujiang Yang. (2005). Conjugated Polymers and Aromaticity. Chemical Reviews. 105(10). 3448–3481. 438 indexed citations
19.
Kertész, Miklós, Cheol Ho Choi, & Shujiang Yang. (2005). Conjugated Polymers and Aromaticity. ChemInform. 37(3). 3 indexed citations
20.
Yang, Shujiang, et al.. (2004). Bandgap calculations for conjugated polymers. Synthetic Metals. 141(1-2). 171–177. 140 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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