Long Lin

1.9k total citations
124 papers, 1.5k citations indexed

About

Long Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Long Lin has authored 124 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Materials Chemistry, 69 papers in Electrical and Electronic Engineering and 26 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Long Lin's work include ZnO doping and properties (40 papers), 2D Materials and Applications (29 papers) and Gas Sensing Nanomaterials and Sensors (21 papers). Long Lin is often cited by papers focused on ZnO doping and properties (40 papers), 2D Materials and Applications (29 papers) and Gas Sensing Nanomaterials and Sensors (21 papers). Long Lin collaborates with scholars based in China, Australia and Germany. Long Lin's co-authors include Zhanying Zhang, Hualong Tao, Jingtao Huang, Linghao Zhu, Chaozheng He, Yonghao Xu, Weiyang Yu, Kun Xie, Jianliang Cao and Jingjing Tian and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Langmuir.

In The Last Decade

Long Lin

119 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Lin China	23	1.1k	894	344	291	273	124	1.5k
Yanfeng Zhao China	15	1.2k 1.1×	710 0.8×	221 0.6×	188 0.6×	830 3.0×	36	1.6k
Huacheng Ye United States	15	1.0k 0.9×	1.2k 1.3×	184 0.5×	136 0.5×	727 2.7×	32	1.9k
Minwoo Park South Korea	15	832 0.7×	693 0.8×	162 0.5×	126 0.4×	145 0.5×	41	1.1k
Jiaqi Zhang China	19	737 0.7×	483 0.5×	271 0.8×	76 0.3×	66 0.2×	72	1.2k
Jinhao Zhou China	24	544 0.5×	1.0k 1.1×	189 0.5×	236 0.8×	563 2.1×	49	1.4k
Zhonglin Wu China	13	547 0.5×	1.2k 1.3×	583 1.7×	315 1.1×	130 0.5×	20	1.4k
Shuai Kang China	19	457 0.4×	869 1.0×	81 0.2×	314 1.1×	548 2.0×	78	1.4k
Tahta Amrillah Indonesia	18	776 0.7×	436 0.5×	237 0.7×	307 1.1×	240 0.9×	64	1.1k
Asghar Ali China	19	561 0.5×	559 0.6×	121 0.4×	389 1.3×	448 1.6×	93	1.2k

Countries citing papers authored by Long Lin

Since Specialization

Citations

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

Fields of papers citing papers by Long Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Long Lin. A scholar is included among the top collaborators of Long Lin 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 Long Lin. Long Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

He, Chaozheng, et al.. (2025). Efficient electrocatalytic N2 fixation over BC3N2 monolayer: A computational screening of single-atom catalysts. Molecular Catalysis. 577. 114931–114931.

Xie, Kun, Ye Shen, Long Lin, et al.. (2025). Machine Learning-Enhanced Design of 2D TM₃(HXBHYB)@MOF-Based Single-Atom Catalysts for Efficient Oxygen Electrocatalysis. The Journal of Physical Chemistry Letters. 16(37). 9682–9692.

Xie, Kun, et al.. (2025). Ligand Regulated the Coordination Environment of Cobalt-Group-MOF for Efficient Electrocatalytic Oxygen Reduction/Evolution Catalysis. The Journal of Physical Chemistry Letters. 16(17). 4164–4172. 2 indexed citations

Wang, Mengyuan, P. Shi, Yong Zhang, et al.. (2024). High-throughput screening of promising bifunctional catalysts for OER/ORR in disulfides. Surfaces and Interfaces. 53. 105069–105069. 2 indexed citations

Liu, Yaowei, et al.. (2024). Electronic and magnetic property of vacancy defects in monolayer PtSe2: A first-principles study. Physica B Condensed Matter. 695. 416493–416493. 1 indexed citations

Lin, Long, Hualong Tao, Weifang Wang, et al.. (2024). The Effect of K and P Doping on the Structure and Electronic Structure of SrFe2As2. JOM. 76(7). 3888–3895. 1 indexed citations

Zhu, Wenyuan, et al.. (2024). The adsorption and gas-sensing properties of transition metal (Ag and Au) modified CrS2 monolayer: A DFT study. FlatChem. 48. 100780–100780. 4 indexed citations

Xi, Jiachen, Long Lin, Wangfeng Bai, et al.. (2024). Compromise boosted high capacitive energy storage in lead-free (Bi0.5Na0.5)TiO3 −based relaxor ferroelectrics by phase structure modulation and defect engineering. Chemical Engineering Journal. 502. 157986–157986. 6 indexed citations

Meng, Weiwei, Zhiguo Nie, Long Lin, et al.. (2024). Promoting the carrier mobility of Nb2SiTe4 through cation coordination engineering. Applied Physics Letters. 124(8). 1 indexed citations

10.

Shi, Pei, et al.. (2023). Construction of Dual-atom catalysts on MoTe2 monolayer to achieve high-efficiency OER/ORR performance. Applied Surface Science. 649. 159174–159174. 22 indexed citations

11.

Lin, Long, Kui Liu, Chencheng Hu, et al.. (2023). Effects of V and Mo dopants on electronic structures, magnetic and optical properties of ZrSe2: First-principles calculations. Physica B Condensed Matter. 655. 414733–414733. 7 indexed citations

12.

Zhang, Xuexia, et al.. (2023). Investigation of nonlinear accelerated degradation mechanism in fuel cell stack under dynamic driving cycles from polarization processes. Applied Energy. 355. 122286–122286. 28 indexed citations

13.

Ge, Wanyin, et al.. (2023). S-doped SnO2 derived from SnS nanoparticles for highly sensitive NO2 detection at room temperature. Journal of Alloys and Compounds. 953. 170089–170089. 4 indexed citations

14.

Ge, Wanyin, et al.. (2022). Ultra-sensitive NO2 detection based on SnS nanosheets: Experimental and DFT investigation. Vacuum. 209. 111777–111777. 19 indexed citations

15.

Chen, Ruixin, et al.. (2022). Coadsorption of CO and CH ₄ on the Au doped SnO ₂ (110) surface: a first principles investigation. Physica Scripta. 97(4). 45403–45403. 5 indexed citations

16.

Lin, Long, et al.. (2022). First-principles calculations of magnetic and optical properties of (Mn, Mo) co-doped SnSe ₂. Physica Scripta. 97(8). 85809–85809. 5 indexed citations

17.

Lin, Long, Shaofei Li, Weiyang Yu, et al.. (2020). Tunable strain effects on the electronic structures and mobility properties of InP/InAs lateral heterostructure. Journal of Physics D Applied Physics. 53(50). 505108–505108. 2 indexed citations

18.

Lin, Long, Jingtao Huang, Weiyang Yu, et al.. (2020). A periodic DFT study on adsorption of small molecules (CH ₄ , CO, H ₂ O, H ₂ S, NH ₃ ) on the WO ₃ (001) surface-supported Au. Communications in Theoretical Physics. 72(3). 35501–35501. 16 indexed citations

19.

Zhang, Bing, Jingtao Huang, Long Lin, Yonghao Xu, & Hualong Tao. (2020). Mechanism of ferromagnetism in (Fe, Co)-codoped 4H-SiC from density functional theory. Communications in Theoretical Physics. 72(5). 55502–55502. 1 indexed citations

20.

Lin, Long, et al.. (2015). Vacancy induced magnetism in N-doped 4H–SiC by first-principle calculations. Solid State Sciences. 49. 78–82. 12 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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