Hongwei Long

523 total citations
37 papers, 365 citations indexed

About

Hongwei Long is a scholar working on Finance, Economics and Econometrics and Mathematical Physics. According to data from OpenAlex, Hongwei Long has authored 37 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Finance, 11 papers in Economics and Econometrics and 10 papers in Mathematical Physics. Recurrent topics in Hongwei Long's work include Stochastic processes and financial applications (19 papers), Financial Risk and Volatility Modeling (10 papers) and Advanced Mathematical Modeling in Engineering (5 papers). Hongwei Long is often cited by papers focused on Stochastic processes and financial applications (19 papers), Financial Risk and Volatility Modeling (10 papers) and Advanced Mathematical Modeling in Engineering (5 papers). Hongwei Long collaborates with scholars based in United States, Canada and United Kingdom. Hongwei Long's co-authors include Yaozhong Hu, Yasutaka Shimizu, Sandun C. Perera, Wei Sun, Michael A. Kouritzin, Chunhua Ma, Lianfen Qian, Gokarna Aryal, Zdzisław Brzeźniak and Suresh Sethi and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Annals of Operations Research.

In The Last Decade

Hongwei Long

35 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongwei Long United States 11 277 94 93 65 45 37 365
Stefan Tappe Germany 10 350 1.3× 60 0.6× 91 1.0× 73 1.1× 64 1.4× 32 403
Igor Cialenco United States 10 194 0.7× 30 0.3× 59 0.6× 35 0.5× 48 1.1× 30 272
Tommi Sottinen Finland 13 364 1.3× 43 0.5× 214 2.3× 55 0.8× 32 0.7× 36 467
Marina Kleptsyna France 12 412 1.5× 138 1.5× 144 1.5× 84 1.3× 38 0.8× 48 536
Jaya P. N. Bishwal United States 8 199 0.7× 117 1.2× 33 0.4× 37 0.6× 55 1.2× 33 298
Areski Cousin France 9 238 0.9× 66 0.7× 78 0.8× 21 0.3× 105 2.3× 26 333
José Manuel Corcuera Spain 16 416 1.5× 106 1.1× 159 1.7× 67 1.0× 51 1.1× 40 568
Jean-François Chassagneux France 11 256 0.9× 44 0.5× 42 0.5× 29 0.4× 41 0.9× 27 304
Wensheng Wang China 10 136 0.5× 33 0.4× 56 0.6× 83 1.3× 81 1.8× 64 303
Harry van Zanten Netherlands 12 166 0.6× 177 1.9× 45 0.5× 38 0.6× 24 0.5× 37 374

Countries citing papers authored by Hongwei Long

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Long

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Long. A scholar is included among the top collaborators of Hongwei Long 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 Hongwei Long. Hongwei Long 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.
Aryal, Gokarna, et al.. (2017). The Kumaraswamy transmuted Pareto distribution. SHILAP Revista de lepidopterología. 4(1). 13 indexed citations
2.
Long, Hongwei. (2016). A dictionary of the law of Scotland : intended for the use of the public at large, as well as of the profession. Books | UK Encyclopedia of Law.
3.
Long, Hongwei, Chunhua Ma, & Yasutaka Shimizu. (2016). Least squares estimators for stochastic differential equations driven by small Lévy noises. Stochastic Processes and their Applications. 127(5). 1475–1495. 27 indexed citations
4.
Perera, Sandun C., et al.. (2016). Market-reaction-adjusted optimal central bank intervention policy in a forex market with jumps. Annals of Operations Research. 262(1). 213–238. 15 indexed citations
5.
Long, Hongwei, et al.. (2015). The link between asymmetric and symmetric optimal portfolios in fads models. 2015. 1 indexed citations
6.
Long, Hongwei, Yasutaka Shimizu, & Wei Sun. (2013). Least squares estimators for discretely observed stochastic processes driven by small Lévy noises. Journal of Multivariate Analysis. 116. 422–439. 31 indexed citations
7.
Long, Hongwei & Lianfen Qian. (2013). Nadaraya-Watson estimator for stochastic processes driven by stable Lévy motions. Electronic Journal of Statistics. 7(none). 12 indexed citations
8.
Long, Hongwei, et al.. (2013). A jump model for fads in asset prices under asymmetric information. European Journal of Operational Research. 236(1). 200–208. 11 indexed citations
9.
Long, Hongwei. (2010). Parameter estimation for a class of stochastic differential equations driven by small stable noises from discrete observations. Acta Mathematica Scientia. 30(3). 645–663. 22 indexed citations
10.
Brzeźniak, Zdzisław, et al.. (2010). Invariant measures for stochastic evolution equations in M-type 2 Banach spaces. Journal of Evolution Equations. 10(4). 785–810. 7 indexed citations
11.
Hu, Yaozhong & Hongwei Long. (2009). Least squares estimator for Ornstein–Uhlenbeck processes driven by α-stable motions. Stochastic Processes and their Applications. 119(8). 2465–2480. 63 indexed citations
12.
Kouritzin, Michael A. & Hongwei Long. (2008). On extending classical filtering equations. Statistics & Probability Letters. 78(18). 3195–3202. 5 indexed citations
13.
Hu, Yaozhong & Hongwei Long. (2007). Parameter estimation for Ornstein-Uhlenbeck processes driven by α-stable Lévy motions. Communications on Stochastic Analysis. 1(2). 31 indexed citations
14.
Kouritzin, Michael A., Hongwei Long, & Wei Sun. (2004). Markov chain approximations to filtering equations for reflecting diffusion processes. Stochastic Processes and their Applications. 110(2). 275–294. 2 indexed citations
15.
Kouritzin, Michael A., et al.. (2004). <title>A stochastic grid filter for multi-target tracking</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5429. 245–253. 2 indexed citations
16.
Kouritzin, Michael A., Hongwei Long, & Wei Sun. (2003). On Markov Chain Approximations to Semilinear Partial Differential Equations Driven by Poisson Measure Noise. Stochastic Analysis and Applications. 21(2). 419–441. 2 indexed citations
17.
Ballantyne, D., Michael A. Kouritzin, Hongwei Long, & Wei Sun. (2003). Discrete-space particle filters for reflecting diffusions. Proceedings - IEEE Aerospace Conference. 4. 4–1625. 1 indexed citations
18.
Long, Hongwei, et al.. (2000). Kolmogorov equations in Hilbert spaces with application to essential self-adjointness of symmetric diffusion operators. Osaka Journal of Mathematics. 37(1). 185–202. 2 indexed citations
19.
Long, Hongwei. (2000). An Approximation Criterion for Essential Self-adjointness of Dirichlet Operators on Certain Banach Spaces. Potential Analysis. 13(4). 409–421. 1 indexed citations
20.
Long, Hongwei. (1997). ANTICIPATING QUADRANT AND SYMMETRIC INTEGRALS IN THE PLANE WITH APPLICATION TO WIENER SPACE. Acta Mathematica Scientia. 17(1). 1–11. 2 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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