H. P. Xin

8.0k total citations
155 papers, 6.0k citations indexed

About

H. P. Xin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, H. P. Xin has authored 155 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Atomic and Molecular Physics, and Optics, 67 papers in Electrical and Electronic Engineering and 56 papers in Condensed Matter Physics. Recurrent topics in H. P. Xin's work include Semiconductor Quantum Structures and Devices (78 papers), GaN-based semiconductor devices and materials (56 papers) and Semiconductor materials and devices (50 papers). H. P. Xin is often cited by papers focused on Semiconductor Quantum Structures and Devices (78 papers), GaN-based semiconductor devices and materials (56 papers) and Semiconductor materials and devices (50 papers). H. P. Xin collaborates with scholars based in United States, China and Sweden. H. P. Xin's co-authors include C. W. Tu, C. W. Tu, Shaohua Li, Weimin Chen, I. A. Buyanova, A. Mascarenhas, Linchuan Fang, Yong Zhang, Xiaoming Sun and Nian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

H. P. Xin

153 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. P. Xin United States 47 2.8k 2.5k 2.1k 1.9k 1.7k 155 6.0k
J. W. Johnson United States 45 472 0.2× 2.4k 0.9× 2.2k 1.1× 2.4k 1.2× 456 0.3× 261 5.8k
Zoran Ristić Serbia 32 282 0.1× 692 0.3× 1.7k 0.8× 202 0.1× 625 0.4× 118 3.4k
Thomas Nußbaumer Germany 26 745 0.3× 347 0.1× 1.2k 0.6× 217 0.1× 578 0.3× 53 3.1k
N. Motoyama Japan 38 1.1k 0.4× 108 0.0× 774 0.4× 3.2k 1.6× 757 0.4× 161 5.6k
David J. Clarke Ireland 38 1.1k 0.4× 78 0.0× 772 0.4× 508 0.3× 1.7k 1.0× 123 5.0k
Zhi Long Liu China 39 286 0.1× 162 0.1× 2.9k 1.4× 537 0.3× 913 0.5× 145 5.1k
Daisuke Maruyama Japan 21 770 0.3× 287 0.1× 976 0.5× 154 0.1× 1.4k 0.8× 73 2.5k
Manuel Montero Spain 27 338 0.1× 94 0.0× 1.1k 0.5× 310 0.2× 824 0.5× 64 3.0k
Zhiguo Liu China 28 123 0.0× 341 0.1× 914 0.4× 166 0.1× 1.1k 0.6× 160 3.0k
Shūichi Iida Japan 25 205 0.1× 173 0.1× 1.1k 0.5× 214 0.1× 634 0.4× 112 2.5k

Countries citing papers authored by H. P. Xin

Since Specialization
Citations

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

Fields of papers citing papers by H. P. Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. P. Xin. 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 H. P. Xin. The network helps show where H. P. Xin may publish in the future.

Co-authorship network of co-authors of H. P. Xin

This figure shows the co-authorship network connecting the top 25 collaborators of H. P. Xin. A scholar is included among the top collaborators of H. P. Xin 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 H. P. Xin. H. P. Xin 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.
Sun, Zixiong, Siting Wang, H. P. Xin, et al.. (2025). Coupled long- and short-period dynamics in Bi 3+ -doped BCZT/cellulose nanogenerators for optimized output and high-temperature stability. Journal of Materials Chemistry C. 14(3). 1152–1163.
3.
Wong, Darren C. J., Xiaoming Sun, Qingyun Li, et al.. (2024). VvbHLH036, a basic helix-loop-helix transcription factor regulates the cold tolerance of grapevine. PLANT PHYSIOLOGY. 196(4). 2871–2889. 9 indexed citations
4.
Li, Qingyun, Yi Wang, Huimin Zhou, et al.. (2024). The Cissus quadrangularis genome reveals its adaptive features in an arid habitat. Horticulture Research. 11(4). uhae038–uhae038. 1 indexed citations
5.
6.
Wong, Darren C. J., Qingyun Li, Huimin Zhou, et al.. (2023). Dissecting the effect of ethylene in the transcriptional regulation of chilling treatment in grapevine leaves. Plant Physiology and Biochemistry. 196. 1084–1097. 16 indexed citations
7.
Zhou, Huimin, et al.. (2023). Dynamics of starch degradation and expression of related genes during chilling stress in grapevine. SHILAP Revista de lepidopterología. 1(1). 12 indexed citations
8.
Rasoarahona, Jean, et al.. (2020). Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar. Plant Diversity. 43(2). 117–124. 38 indexed citations
9.
Cheng, Cheng, Yi Wang, Fengmei Chai, et al.. (2018). Genome-wide identification and characterization of the 14–3-3 family in Vitis vinifera L. during berry development and cold- and heat-stress response. BMC Genomics. 19(1). 579–579. 44 indexed citations
10.
Zhang, Langlang, Jun Cheng, Xiaoming Sun, et al.. (2018). Overexpression of VaWRKY14 increases drought tolerance in Arabidopsis by modulating the expression of stress-related genes. Plant Cell Reports. 37(8). 1159–1172. 47 indexed citations
11.
Sun, Xiaoming, Lingye Su, Wanjun Wang, et al.. (2015). Identification of cold-inducible microRNAs in grapevine. Frontiers in Plant Science. 6. 595–595. 66 indexed citations
12.
He, Shibin, Shihan Yan, Pu Wang, et al.. (2014). Comparative Analysis of Genome-Wide Chromosomal Histone Modification Patterns in Maize Cultivars and Their Wild Relatives. PLoS ONE. 9(5). e97364–e97364. 21 indexed citations
13.
Wang, Lina, Wei Zhu, Linchuan Fang, et al.. (2014). Genome-wide identification of WRKY family genes and their response to cold stress in Vitis vinifera. BMC Plant Biology. 14(1). 103–103. 172 indexed citations
14.
Xin, H. P., Benhong Wu, Haohao Zhang, et al.. (2013). Characterization of volatile compounds in flowers from four groups of sweet osmanthus (Osmanthus fragrans) cultivars. BioOne Complete (BioOne). 15 indexed citations
15.
Wang, Nian, Linchuan Fang, H. P. Xin, Lijun Wang, & Shaohua Li. (2012). Construction of a high-density genetic map for grape using next generation restriction-site associated DNA sequencing. BMC Plant Biology. 12(1). 148–148. 97 indexed citations
16.
Wu, Jianjun, Xiongbo Peng, Wenwei Li, et al.. (2012). Mitochondrial GCD1 Dysfunction Reveals Reciprocal Cell-to-Cell Signaling during the Maturation of Arabidopsis Female Gametes. Developmental Cell. 23(5). 1043–1058. 56 indexed citations
17.
Ma, Ligang, H. P. Xin, Lianghuan Qu, et al.. (2011). Transcription Profile Analysis Reveals That Zygotic Division Results in Uneven Distribution of Specific Transcripts in Apical/Basal Cells of Tobacco. PLoS ONE. 6(1). e15971–e15971. 23 indexed citations
18.
Ning, Jue, Xiongbo Peng, Lianghuan Qu, et al.. (2006). Differential gene expression in egg cells and zygotes suggests that the transcriptome is restructed before the first zygotic division in tobacco. FEBS Letters. 580(7). 1747–1752. 68 indexed citations
19.
Ager, Joel W., W. Shan, H. P. Xin, et al.. (2001). Effect of Band Anticrossing on the Optical Transitions in GaAs_1-xN_x/GaAs Multiple Quantum Wells. APS. 5 indexed citations
20.
Walukiewicz, W., et al.. (2001). Band Anticrossing in GaP_1-xN x Alloys. Physical Review B. 65(24). 8 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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