Hong Xiang

1.5k total citations
77 papers, 1.2k citations indexed

About

Hong Xiang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Hong Xiang has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Public Health, Environmental and Occupational Health, 36 papers in Modeling and Simulation and 20 papers in Genetics. Recurrent topics in Hong Xiang's work include Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), COVID-19 epidemiological studies (20 papers) and Evolution and Genetic Dynamics (20 papers). Hong Xiang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), COVID-19 epidemiological studies (20 papers) and Evolution and Genetic Dynamics (20 papers). Hong Xiang collaborates with scholars based in China, United States and Hong Kong. Hong Xiang's co-authors include Hai‐Feng Huo, Xin-You Meng, Xiao‐Bing Zhang, Nana Song, Rui Yu, Dingqiang Fan, Zhonghe Shui, Jinnan Wang, Fangfang Cui and Qihong Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Construction and Building Materials.

In The Last Decade

Hong Xiang

73 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Xiang China 22 819 570 401 169 153 77 1.2k
Zohreh Eskandari Iran 17 527 0.6× 372 0.7× 277 0.7× 233 1.4× 217 1.4× 46 896
Yongzhen Pei China 18 669 0.8× 306 0.5× 384 1.0× 180 1.1× 81 0.5× 86 927
Zhipeng Qiu China 17 498 0.6× 360 0.6× 323 0.8× 120 0.7× 66 0.4× 56 798
Aadil Lahrouz Morocco 16 967 1.2× 808 1.4× 581 1.4× 47 0.3× 96 0.6× 51 1.1k
Mostafa Rachik Morocco 20 633 0.8× 669 1.2× 189 0.5× 39 0.2× 134 0.9× 154 1.3k
Qimin Zhang China 17 536 0.7× 418 0.7× 205 0.5× 102 0.6× 149 1.0× 153 1.1k
Leonid Shaikhet Israel 20 625 0.8× 341 0.6× 203 0.5× 210 1.2× 130 0.8× 100 1.5k
Junli Liu China 15 587 0.7× 430 0.8× 292 0.7× 46 0.3× 105 0.7× 56 836
Guang Zhang China 17 419 0.5× 156 0.3× 140 0.3× 187 1.1× 98 0.6× 101 1.0k
Xin-You Meng China 16 602 0.7× 287 0.5× 364 0.9× 143 0.8× 49 0.3× 49 670

Countries citing papers authored by Hong Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Xiang. A scholar is included among the top collaborators of Hong Xiang 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 Hong Xiang. Hong Xiang 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.
Wang, Xuejiao, Hong Xiang, Haibo Wang, et al.. (2024). Holotrichones A and B, potent anti-leukemic lindenane-type sesquiterpene trimers with unprecedented complex carbon skeletons from a rare Chloranthus species. Chinese Chemical Letters. 35(12). 109682–109682. 9 indexed citations
3.
Taylor, Matthew H., Aung Naing, John D. Powderly, et al.. (2024). Phase I dose escalation study of IO-108, an anti-LILRB2 antibody, in patients with advanced solid tumors. Journal for ImmunoTherapy of Cancer. 12(11). e010006–e010006. 4 indexed citations
4.
5.
Huang, Tao, Kyu Hong, Krista McCutcheon, et al.. (2023). Abstract LB217: A novel bispecific LILRB4/CD3 antibody with potent killing of monocytic acute myeloid leukemia cells. Cancer Research. 83(8_Supplement). LB217–LB217. 1 indexed citations
6.
Liu, Chun, et al.. (2023). Variation in Put-Call Parity Deviation and Equity Option Returns. SSRN Electronic Journal.
7.
Huo, Hai‐Feng, et al.. (2023). Dynamics and optimal control of a Zika model with sexual and vertical transmissions. Mathematical Biosciences & Engineering. 20(5). 8279–8304. 4 indexed citations
8.
Xiang, Hong, Yufei Wu, Zexin Jin, et al.. (2023). Liriogerphines E–U, further unique sesquiterpene-alkaloid hybrids from the rare Chinese tulip tree. Phytochemistry. 218. 113956–113956. 5 indexed citations
9.
Hu, Shudong, Zongqiong Sun, Yuxi Ge, et al.. (2022). Assessing Diagnostic Value of Combining Ultrasound and MRI in Extrathyroidal Extension of Papillary Thyroid Carcinoma. SHILAP Revista de lepidopterología. 7 indexed citations
10.
Li, Jialing, Hongwei Lü, Shuhua Chen, et al.. (2022). Trimethylamine oxide induces pyroptosis of vascular endothelial cells through ALDH2/ROS/NLRP3/GSDMD pathway.. PubMed. 47(9). 1171–1181. 7 indexed citations
11.
Xie, Zuozhong, Hong Xiang, Jingkun Li, et al.. (2022). SNHG20 promotes the development of laryngeal squamous cell carcinoma via miR-342-3p/MTDH axis. Heliyon. 8(8). e10085–e10085. 1 indexed citations
12.
Yang, Qian, Hai‐Feng Huo, & Hong Xiang. (2022). Analysis of an edge-based SEIR epidemic model with sexual and non-sexual transmission routes. Physica A Statistical Mechanics and its Applications. 609. 128340–128340. 4 indexed citations
13.
Huo, Hai‐Feng, Fan Wu, & Hong Xiang. (2021). On threshold dynamics for periodic and time-delayed impulsive systems and application to a periodic disease model. Mathematical Biosciences & Engineering. 19(1). 836–854. 1 indexed citations
14.
Xiang, Hong, et al.. (2021). Global dynamics of a delayed alcoholism model with the effect of health education. Mathematical Biosciences & Engineering. 18(1). 904–932. 2 indexed citations
15.
Huo, Hai‐Feng, et al.. (2021). Modelling the effects of ozone concentration and pulse vaccination on seasonal influenza outbreaks in Gansu Province, China. Discrete and Continuous Dynamical Systems - B. 27(4). 1877–1877. 5 indexed citations
16.
Huo, Hai‐Feng, et al.. (2020). Modeling the Effects of Meteorological Factors and Unreported Cases on Seasonal Influenza Outbreaks in Gansu Province, China. Bulletin of Mathematical Biology. 82(6). 73–73. 25 indexed citations
17.
Xiang, Hong, Yanyan Wang, & Hai‐Feng Huo. (2018). ANALYSIS OF THE BINGE DRINKING MODELS WITH DEMOGRAPHICS AND NONLINEAR INFECTIVITY ON NETWORKS. Journal of Applied Analysis & Computation. 8(5). 1535–1554. 25 indexed citations
18.
Zhang, Xiao‐Bing, et al.. (2018). THE DYNAMIC BEHAVIOR OF DETERMINISTIC AND STOCHASTIC DELAYED SIQS MODEL. Journal of Applied Analysis & Computation. 8(4). 1061–1084. 11 indexed citations
19.
Xiang, Hong, Nana Song, & Hai‐Feng Huo. (2015). Modelling effects of public health educational campaigns on drinking dynamics. Journal of Biological Dynamics. 10(1). 164–178. 36 indexed citations
20.
Xiang, Hong, et al.. (2012). Stability of the virus dynamics model with Beddington–DeAngelis functional response and delays. Applied Mathematical Modelling. 37(7). 5414–5423. 24 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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