Xing Han

607 total citations · 1 hit paper
33 papers, 415 citations indexed

About

Xing Han is a scholar working on Finance, Economics and Econometrics and Control and Systems Engineering. According to data from OpenAlex, Xing Han has authored 33 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Finance, 15 papers in Economics and Econometrics and 6 papers in Control and Systems Engineering. Recurrent topics in Xing Han's work include Financial Markets and Investment Strategies (15 papers), Market Dynamics and Volatility (11 papers) and Complex Systems and Time Series Analysis (5 papers). Xing Han is often cited by papers focused on Financial Markets and Investment Strategies (15 papers), Market Dynamics and Volatility (11 papers) and Complex Systems and Time Series Analysis (5 papers). Xing Han collaborates with scholars based in New Zealand, China and United Kingdom. Xing Han's co-authors include Youwei Li, Michael Frömmel, Ya Gao, Kai Li, Yuhan Wang, Qinyao Luo, Haifeng Li, Xiong Xiong, Xiong Xiong and Xiaoping Liu and has published in prestigious journals such as Chemical Engineering Journal, Sensors and Energy Economics.

In The Last Decade

Xing Han

31 papers receiving 409 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LSTTN: A Long-Short Term Transformer-based spatiotemporal neural network for traffic flow forecasting

2024 48 citations Xing Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing Han New Zealand	10	239	221	78	75	46	33	415
Martin Gould United Kingdom	8	163 0.7×	192 0.9×	105 1.3×	14 0.2×	16 0.3×	19	359
Xiao Zhong United States	6	126 0.5×	189 0.9×	402 5.2×	19 0.3×	213 4.6×	18	573
Bruno Miranda Henrique Brazil	7	163 0.7×	187 0.8×	438 5.6×	33 0.4×	165 3.6×	7	622
Selvaprabu Nadarajah United States	10	93 0.4×	92 0.4×	62 0.8×	13 0.2×	42 0.9×	37	260
Iván Pastor Sanz Spain	8	86 0.4×	49 0.2×	47 0.6×	141 1.9×	16 0.3×	23	308
Qiuyue Zhang China	12	49 0.2×	59 0.3×	145 1.9×	26 0.3×	71 1.5×	31	427
Aslı Boru Türkiye	10	63 0.3×	89 0.4×	244 3.1×	11 0.1×	148 3.2×	21	447
Eunsuk Chong South Korea	3	155 0.6×	177 0.8×	439 5.6×	12 0.2×	190 4.1×	5	535

Countries citing papers authored by Xing Han

Since Specialization

Citations

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

Fields of papers citing papers by Xing Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Han, Xing, et al.. (2025). Liquidity commonality in cryptocurrencies. Finance research letters. 85. 108187–108187. 1 indexed citations

2.

Han, Xing, et al.. (2025). Understanding the Performance of Currency Basis‐Momentum. European Financial Management. 31(5). 1652–1678.

3.

Han, Xing, et al.. (2024). The impact of climate policy uncertainty on stock price synchronicity: Evidence from China. Finance research letters. 69. 106166–106166. 3 indexed citations

4.

Guo, Jiaqi, Xing Han, Kai Li, & Youwei Li. (2024). The nexus of overnight trend and asset prices in China. Journal of Economic Dynamics and Control. 170. 104997–104997. 1 indexed citations

5.

Geng, Wanying, et al.. (2024). Defect regulation of a distinctive synthetic Eu2+-doped SiAlON S-phase towards controllable spectra and thermal quenching for white-light-emitting diode. Chemical Engineering Journal. 485. 149796–149796. 8 indexed citations

6.

Guo, Lei, Xing Han, & Youwei Li. (2023). The smog that hovers: Air pollution and asset prices. Finance research letters. 53. 103633–103633. 4 indexed citations

7.

Han, Xing. (2022). Understanding the Performance of Components in Betting Against Beta. RePEc: Research Papers in Economics. 11(1). 1–36. 4 indexed citations

8.

Lv, Wen, Di Sun, Yu Sun, et al.. (2021). Pathological Gait Signatures of Post-stroke Dementia With Toe-Off and Heel-to-Ground Angles Discriminate From Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 766884–766884. 5 indexed citations

9.

Frömmel, Michael, Xing Han, Youwei Li, & Samuel A. Vigne. (2021). Low liquidity beta anomaly in China. Emerging Markets Review. 50. 100832–100832. 9 indexed citations

10.

Han, Song, Xiaoping Liu, Xing Han, Gang Wang, & Shaobo Wu. (2020). Visual Sorting of Express Parcels Based on Multi-Task Deep Learning. Sensors. 20(23). 6785–6785. 23 indexed citations

11.

Han, Xing, Xinfeng Ruan, & Yongxian Tan. (2020). Can the relative price ratio of gold to platinum predict the Chinese stock market?. Pacific-Basin Finance Journal. 62. 101379–101379. 7 indexed citations

12.

Gao, Ya, Xing Han, Youwei Li, & Xiong Xiong. (2019). Overnight momentum, informational shocks, and late informed trading in China. International Review of Financial Analysis. 66. 101394–101394. 35 indexed citations

13.

Han, Xing. (2019). Understanding the Performance of Components in Betting Against Beta. SSRN Electronic Journal. 4 indexed citations

14.

Han, Xing, Zhang Li, & Yi Liu. (2018). Effect of altruistic scenarios for individual car-following behavior. Journal of Tsinghua University(Science and Technology). 58(11). 1000–1005. 2 indexed citations

15.

Zhang, Lin, Xing Han, Jing Qian, Nan Jia, & Yi Liu. (2018). How Risk Perception Affect Driving Behaviors in Disasters. 1–4. 1 indexed citations

16.

Han, Xing, et al.. (2018). An Optimizational Tactile P300 Brain-Computer Interface Paradigm. 8215–8220. 3 indexed citations

17.

Frömmel, Michael, et al.. (2014). Modeling the daily electricity price volatility with realized measures. Energy Economics. 44. 492–502. 33 indexed citations

18.

Han, Xing, et al.. (2013). Optimal Structural Design of Complicated Mechanical Products based on Data Ming and Muti-level Partitioning Strategy. International Journal of Applied Mathematics & Statistics. 45(15). 376–385.

19.

Han, Xing, Qiaoyan Wen, & Zhao Zhang. (2012). A mutation-based fuzz testing approach for network protocol vulnerability detection. 1018–1022. 16 indexed citations

20.

Han, Xing, et al.. (2011). Data-Driven Approach for Equipment Reliability Prediction Using Neural Network. Advanced materials research. 411. 563–566. 1 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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