Lingxiang Zhang

543 total citations
36 papers, 432 citations indexed

About

Lingxiang Zhang is a scholar working on General Economics, Econometrics and Finance, Molecular Biology and Finance. According to data from OpenAlex, Lingxiang Zhang has authored 36 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Economics, Econometrics and Finance, 9 papers in Molecular Biology and 7 papers in Finance. Recurrent topics in Lingxiang Zhang's work include Monetary Policy and Economic Impact (10 papers), Market Dynamics and Volatility (5 papers) and Financial Risk and Volatility Modeling (5 papers). Lingxiang Zhang is often cited by papers focused on Monetary Policy and Economic Impact (10 papers), Market Dynamics and Volatility (5 papers) and Financial Risk and Volatility Modeling (5 papers). Lingxiang Zhang collaborates with scholars based in China, France and United Kingdom. Lingxiang Zhang's co-authors include Guangzhi Li, Mingyi Shi, Ling Zhang, Yufang Pan, Hanhua Hu, Chris Bowler, Juan Yang, Penghua Fang, Penghua Shu and Lili Guo and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Access and Physiology & Behavior.

In The Last Decade

Lingxiang Zhang

34 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingxiang Zhang China	12	153	121	71	68	55	36	432
Jung-Ae Kim South Korea	12	149 1.0×	27 0.2×	19 0.3×	16 0.2×	26 0.5×	32	445
Shanshan Zhang China	15	170 1.1×	30 0.2×	8 0.1×	39 0.6×	120 2.2×	36	595
Beibei Gu China	8	88 0.6×	37 0.3×	7 0.1×	36 0.5×	12 0.2×	18	512
Zhenni Chen China	13	121 0.8×	36 0.3×	5 0.1×	13 0.2×	16 0.3×	37	450
Hui Hua China	13	152 1.0×	23 0.2×	9 0.1×	24 0.4×	23 0.4×	35	455
Vinicius Kannen Brazil	15	190 1.2×	39 0.3×	35 0.5×	4 0.1×	42 0.8×	36	592
Majdi Dwikat Palestinian Territory	10	70 0.5×	22 0.2×	4 0.1×	52 0.8×	23 0.4×	23	460
Rashmi Deshpande India	10	161 1.1×	41 0.3×	34 0.5×	6 0.1×	10 0.2×	19	402
Shuyue Wang China	14	252 1.6×	35 0.3×	5 0.1×	26 0.4×	40 0.7×	43	609

Countries citing papers authored by Lingxiang Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Lingxiang Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxiang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxiang Zhang. A scholar is included among the top collaborators of Lingxiang Zhang 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 Lingxiang Zhang. Lingxiang Zhang 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

Zhang, Lingxiang, et al.. (2024). A boiler oxygen content and furnace temperature prediction model based on honey badger algorithm optimized neural network. Engineering Research Express. 6(1). 15083–15083. 3 indexed citations

Shu, Penghua, Lingxiang Zhang, Junping Li, et al.. (2021). Isolation and Characterization of Glycosidic Tyrosinase Inhibitors from Typhonium giganteum Rhizomes. Records of Natural Products. 15(5). 380–387. 2 indexed citations

Shu, Penghua, Mengzhu Yu, Yamin Li, et al.. (2021). Synthesis of cinnamoyl glucoside derivatives and their antiproliferation activities against murine melanoma B16-F10 cell line. Carbohydrate Research. 504. 108332–108332. 2 indexed citations

Zhang, Lingxiang, et al.. (2020). Screening of High Temperature-Tolerant Oleaginous Diatoms. Journal of Microbiology and Biotechnology. 30(7). 1072–1081. 5 indexed citations

Shu, Penghua, Lingxiang Zhang, Mengzhu Yu, et al.. (2020). Regioselective Dechloroacetylations Mediated by Ammonium Acetate: Practical Syntheses of 2,3,4,6‐Tetra‐ O ‐chloroacetyl‐glycopyranoses and Cinnamoyl Glucose Esters. ChemistrySelect. 5(21). 6360–6364. 2 indexed citations

Shu, Penghua, Junping Li, Anqi Liu, et al.. (2020). Two new phenylethanoid glycosides from Ginkgo biloba leaves and their tyrosinase inhibitory activities. Carbohydrate Research. 494. 108059–108059. 15 indexed citations

Shu, Penghua, Lingxiang Zhang, Mengyuan Sun, et al.. (2020). Chemical Constituents from Typhonium giganteum Rhizome and Their Antioxidant, Tyrosinase Inhibitory Activities. Records of Natural Products. 15(1). 53–58. 10 indexed citations

Wang, Ying, et al.. (2020). Signal transducer and activator of transcription 3 inhibition alleviates resistance to BRAF inhibition in anaplastic thyroid cancer. Investigational New Drugs. 39(3). 764–774. 4 indexed citations

Shu, Penghua, et al.. (2019). Chemical constituents from Ginkgo biloba leaves and their cytotoxicity activity. Journal of Natural Medicines. 74(1). 269–274. 26 indexed citations

10.

Zhang, Lingxiang, et al.. (2019). IMBALANCE IN CHINA'S SEX RATIO AT BIRTH: A REVIEW. Journal of Economic Surveys. 33(3). 1050–1069. 19 indexed citations

11.

Zhang, Lingxiang. (2018). Linearity tests and stochastic trend under the STAR framework. Statistical Papers. 61(6). 2271–2282. 1 indexed citations

12.

Zhang, Lingxiang. (2016). MODELING THE PHILLIPS CURVE IN CHINA: A NONLINEAR PERSPECTIVE. Macroeconomic Dynamics. 21(2). 439–461. 9 indexed citations

13.

Zhang, Lingxiang. (2015). Performance of unit-root tests for non linear unit-root and partial unit-root processes. Communication in Statistics- Theory and Methods. 45(15). 4528–4536. 5 indexed citations

14.

Zhang, Lingxiang. (2013). Modeling China's inflation dynamics: An MRSTAR approach. Economic Modelling. 31. 440–446. 5 indexed citations

15.

Zhang, Lingxiang. (2013). Revisiting the empirics of inflation in China: A smooth transition error correction approach. Economics Letters. 119(1). 68–71. 7 indexed citations

16.

Zhang, Lingxiang. (2012). Partial unit root and linear spurious regression: A Monte Carlo simulation study. Economics Letters. 118(1). 189–191. 5 indexed citations

17.

Zhang, Lingxiang. (2011). Test for linearity against STAR models with deterministic trends. Economics Letters. 115(1). 16–19. 1 indexed citations

18.

Shi, Mingyi, Ling Zhang, Guangzhi Li, et al.. (2011). Beneficial effect of galanin on insulin sensitivity in muscle of type 2 diabetic rats. Physiology & Behavior. 103(3-4). 284–289. 63 indexed citations

19.

Guo, Lili, Mingyi Shi, Ling Zhang, et al.. (2011). Galanin antagonist increases insulin resistance by reducing glucose transporter 4 effect in adipocytes of rats. General and Comparative Endocrinology. 173(1). 159–163. 48 indexed citations

20.

Zhang, Lingxiang, et al.. (2000). <title>Measurement of high-power laser resonator mirror's misalignment using PSD</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4222. 366–371. 3 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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