Jianwu Lin

982 total citations · 1 hit paper
21 papers, 704 citations indexed

About

Jianwu Lin is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Jianwu Lin has authored 21 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 8 papers in Artificial Intelligence and 8 papers in Economics and Econometrics. Recurrent topics in Jianwu Lin's work include Stock Market Forecasting Methods (16 papers), Complex Systems and Time Series Analysis (6 papers) and Financial Markets and Investment Strategies (5 papers). Jianwu Lin is often cited by papers focused on Stock Market Forecasting Methods (16 papers), Complex Systems and Time Series Analysis (6 papers) and Financial Markets and Investment Strategies (5 papers). Jianwu Lin collaborates with scholars based in China, United States and France. Jianwu Lin's co-authors include Enver Yücesan, Chun‐Hung Chen, Stephen E. Chick, Karen Donohue, Hsiao-Chang Chen, Yi Zhou, Yong Jiang, Rui Liu, Ying Kong and Shu‐Tao Xia and has published in prestigious journals such as Personal and Ubiquitous Computing, Quantitative Finance and Simulation Modelling Practice and Theory.

In The Last Decade

Jianwu Lin

16 papers receiving 681 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.

Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization

2000 566 citations Chun‐Hung Chen, Jianwu Lin et al. Discrete Event Dynamic Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianwu Lin China	7	506	237	187	153	125	21	704
Donghai He United States	5	331 0.7×	145 0.6×	114 0.6×	68 0.4×	83 0.7×	8	402
Yijie Peng China	12	296 0.6×	88 0.4×	64 0.3×	130 0.8×	77 0.6×	66	470
Suyan Teng Singapore	10	261 0.5×	159 0.7×	99 0.5×	35 0.2×	45 0.4×	12	381
Rico Zenklusen Switzerland	15	153 0.3×	398 1.7×	144 0.8×	142 0.9×	308 2.5×	53	779
Jorge Haddock United States	14	219 0.4×	75 0.3×	459 2.5×	78 0.5×	92 0.7×	44	730
Sebastián Ceria United States	7	222 0.4×	324 1.4×	370 2.0×	77 0.5×	131 1.0×	11	875
Paul J. Sánchez United States	12	255 0.5×	87 0.4×	91 0.5×	36 0.2×	37 0.3×	29	401
Gerald T. Mackulak United States	18	332 0.7×	48 0.2×	457 2.4×	55 0.4×	54 0.4×	73	899
Marc S. Meketon United States	7	299 0.6×	218 0.9×	55 0.3×	49 0.3×	49 0.4×	11	650
Banu Soylu Türkiye	14	102 0.2×	108 0.5×	175 0.9×	89 0.6×	22 0.2×	24	429

Countries citing papers authored by Jianwu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jianwu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwu Lin

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

Lin, Jianwu, et al.. (2024). Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU. 1–8.

2.

Lin, Jianwu, et al.. (2024). Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa. 1–8.

3.

Liu, Rui, Yong Jiang, & Jianwu Lin. (2022). Forecasting the Volatility of Specifc Risk for Stocks with LSTM. Procedia Computer Science. 202. 111–114. 6 indexed citations

4.

Kong, Ying, et al.. (2022). Trend Prediction Of Stock Industry Index Based On Financial Text. Procedia Computer Science. 202. 105–110. 2 indexed citations

5.

Lin, Jianwu, et al.. (2022). Genetic Algorithm Based Quantitative Factors Construction. 17. 650–655. 2 indexed citations

6.

Zhou, Mei, Ying Kong, & Jianwu Lin. (2022). Financial Topic Modeling Based on the BERT-LDA Embedding. 495–500. 4 indexed citations

7.

Lin, Jianwu, et al.. (2021). Enhancement learning on financial text data. Personal and Ubiquitous Computing. 26(4). 1011–1021.

8.

Sun, Jiaqi, Yong Jiang, & Jianwu Lin. (2021). Convolutional LSTM Network for forecasting correlations between stocks based on spatiotemporal sequence. 143. 1–6. 1 indexed citations

9.

Lin, Jianwu, et al.. (2020). Neural network-based automatic factor construction. Quantitative Finance. 20(12). 2101–2114. 6 indexed citations

10.

Lin, Jianwu, et al.. (2020). Stock-UniBERT: A News-based Cost-sensitive Ensemble BERT Model for Stock Trading. 440–445. 2 indexed citations

11.

Lin, Jianwu, et al.. (2020). Multi-Channel Temporal Graph Convolutional Network for Stock Return Prediction. 423–428. 3 indexed citations

12.

Zhou, Yi, et al.. (2019). The Information Flow between A and H Share Stock markets. 641–646.

13.

Zhou, Yi, et al.. (2019). Using machine learning for cryptocurrency trading. 647–652. 14 indexed citations

14.

Lin, Jianwu, et al.. (2019). Financial Sentiment Analysis(FSA): A Survey. 617–622. 31 indexed citations

15.

Lin, Jianwu, et al.. (2017). Smart risk management with financial big data. 2. 60–65. 1 indexed citations

16.

Zhou, Yi & Jianwu Lin. (2017). The alpha life cycle of quantitative strategy. 53–59.

17.

Donohue, Karen, et al.. (2003). Optimal computing budget allocation for Monte Carlo simulation with application to product design. Simulation Modelling Practice and Theory. 11(1). 57–74. 42 indexed citations

18.

Chen, Chun‐Hung, Karen Donohue, Jianwu Lin, & Enver Yücesan. (2002). Efficient approach for Monte Carlo simulation experiments and its applications to circuit systems design. 65–71. 4 indexed citations

19.

Chen, Chun‐Hung, Jianwu Lin, Enver Yücesan, & Stephen E. Chick. (2000). Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization. Discrete Event Dynamic Systems. 10(3). 251–270. 566 indexed citations breakdown →

20.

Chen, Hsiao-Chang, Chun‐Hung Chen, Jianwu Lin, & Enver Yücesan. (1999). An asymptotic allocation for simultaneous simulation experiments. 1. 359–366. 19 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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