Wen Long

1.7k total citations · 1 hit paper
73 papers, 1.1k citations indexed

About

Wen Long is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Wen Long has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 24 papers in Management Science and Operations Research and 19 papers in Finance. Recurrent topics in Wen Long's work include Stock Market Forecasting Methods (23 papers), Complex Systems and Time Series Analysis (17 papers) and Financial Risk and Volatility Modeling (10 papers). Wen Long is often cited by papers focused on Stock Market Forecasting Methods (23 papers), Complex Systems and Time Series Analysis (17 papers) and Financial Risk and Volatility Modeling (10 papers). Wen Long collaborates with scholars based in China, United States and Hong Kong. Wen Long's co-authors include Ling-Xiao Cui, Qing‐Feng Sun, Jian Wang, Yingjie Tian, Jian Wang, Hong Guo, Yong Shi, Hu Luo, Xu Han and Zhuhua Tan and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Wen Long

64 papers receiving 1.1k citations

Hit Papers

Deep learning-based feature engineering for stock price m... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Deep learning-based feature engineering for stock price movement prediction
    2018 311 citations Wen Long et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Long China 18 392 273 252 235 193 73 1.1k
Stavros Stavroyiannis Greece 21 253 0.6× 206 0.8× 615 2.4× 241 1.0× 335 1.7× 75 1.4k
Xing Wu China 19 212 0.5× 328 1.2× 62 0.2× 223 0.9× 70 0.4× 126 1.5k
Peter A. Morris United States 18 358 0.9× 140 0.5× 170 0.7× 315 1.3× 86 0.4× 46 1.6k
Wang Chun China 20 146 0.4× 272 1.0× 55 0.2× 119 0.5× 34 0.2× 195 1.4k
Kengo Kato Japan 23 127 0.3× 140 0.5× 397 1.6× 35 0.1× 248 1.3× 71 1.8k
B. Nath India 12 155 0.4× 121 0.4× 66 0.3× 40 0.2× 41 0.2× 18 652
Wenbin Liu China 23 260 0.7× 472 1.7× 72 0.3× 72 0.3× 13 0.1× 111 1.7k
Luis E. Zárate Brazil 13 217 0.6× 115 0.4× 102 0.4× 43 0.2× 49 0.3× 128 948
Changha Hwang South Korea 16 189 0.5× 69 0.3× 73 0.3× 73 0.3× 42 0.2× 79 889

Countries citing papers authored by Wen Long

Since Specialization
Citations

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

Fields of papers citing papers by Wen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Long

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Long. A scholar is included among the top collaborators of Wen 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 Wen Long. Wen 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.
Long, Wen, et al.. (2025). Social media and capital markets: an interdisciplinary bibliometric analysis. Financial Innovation. 11(1).
2.
Long, Wen, et al.. (2025). Information content and sentiment: the role of environmental disclosure in stock price crash risk. International Review of Financial Analysis. 104. 104294–104294. 1 indexed citations
3.
Liao, Xingyu, Yanyan Li, Shuangyi Li, et al.. (2025). Enhanced Integration of Single-Cell Multi-Omics Data Using Graph Attention Networks. ACS Synthetic Biology. 14(3). 931–942. 1 indexed citations
4.
5.
Long, Wen, et al.. (2024). Comparative research on multi-source heterogeneous data fusion technologies. Procedia Computer Science. 242. 1089–1095.
6.
Long, Wen, et al.. (2024). A hybrid model for stock price prediction based on multi-view heterogeneous data. Financial Innovation. 10(1). 13 indexed citations
7.
Shi, Yong, et al.. (2023). Machine learning models for early‐stage investment decision making in startups. Managerial and Decision Economics. 45(3). 1259–1279. 2 indexed citations
8.
Dai, Wei, Yuan An, & Wen Long. (2022). Price change prediction of Ultra high frequency financial data based on temporal convolutional network. Procedia Computer Science. 199. 1177–1183. 20 indexed citations
9.
Shi, Yong, et al.. (2021). Improved ACD-Based Financial Trade Durations Prediction Leveraging LSTM Networks and Attention Mechanism. Mathematical Problems in Engineering. 2021. 1–11. 1 indexed citations
10.
Long, Wen, C.H. Wu, Yung Po Tsang, & Qiyang Chen. (2021). An End-to-End Bidirectional Authentication System for Pallet Pooling Management Through Blockchain Internet of Things (BIoT). Journal of Organizational and End User Computing. 33(6). 1–25. 7 indexed citations
11.
Liu, Hui, Hang Yang, Zhengfu Zhang, et al.. (2021). Automatic Facial Recognition of Williams-Beuren Syndrome Based on Deep Convolutional Neural Networks. Frontiers in Pediatrics. 9. 648255–648255. 22 indexed citations
12.
Long, Wen, et al.. (2020). Can the Chinese volatility index reflect investor sentiment?. International Review of Financial Analysis. 73. 101612–101612. 24 indexed citations
13.
Jiang, Yao, et al.. (2019). Urban tourism competitiveness evaluation system and its application: Comparison and analysis of regression and classification methods. Procedia Computer Science. 162. 429–437. 20 indexed citations
14.
Liu, Gang, Wen Long, Jingchao Wang, et al.. (2018). Improving the throughput of transportation networks with a time-optimization routing strategy. International Journal of Geographical Information Systems. 32(9). 1815–1836. 10 indexed citations
15.
Liu, Gang, Ru Li, Weile Li, et al.. (2017). Scaling relation of earthquake seismic data. Physica A Statistical Mechanics and its Applications. 492. 2092–2102. 7 indexed citations
16.
Long, Wen, et al.. (2016). Correlation analysis of industry sectors in China’s stock markets based on interval data. Filomat. 30(15). 3999–4013. 6 indexed citations
17.
Long, Wen. (2012). Chirality effect in disordered graphene ribbon junctions. Journal of Physics Condensed Matter. 24(17). 175302–175302. 2 indexed citations
18.
Long, Wen, Nan Li, Huiwen Wang, & Siwei Cheng. (2012). Impact of US financial crisis on Different Countries: Based on the Method of Functional Analysis of Variance. Procedia Computer Science. 9. 1292–1298. 12 indexed citations
19.
20.
Long, Wen, Qing‐Feng Sun, Hong Guo, & Jian Wang. (2003). Gate-controllable spin battery. Applied Physics Letters. 83(7). 1397–1399. 60 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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