Lu Jin

22 papers receiving 277 citations

Peers

Lu Jin
Comparison fields: 5 of 67
  • Finance 95
  • General Economics, Econometrics and Finance 77
  • Economics and Econometrics 147
  • Management Science and Operations Research 57
  • Safety, Risk, Reliability and Quality 30
Replace Shahid Ahmed with:
Shahid Ahmed India
Thomas A. Knetsch Germany
Katarzyna Maciejowska Poland
Erik Kole Netherlands
Pavel Ettler Czechia
Kuo‐Jung Lee Taiwan
Flávio Augusto Ziegelmann Brazil
D. Pilipovic United States
Michael Coulon United Kingdom
Lu Jin relative to Shahid Ahmed India Shahid Ahmed's profile →
Citations per field
00.5×4.9×
Shahid Ahmed · 1×
Citations per year

Countries citing papers authored by Lu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Lu Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu Jin Line = papers co-authored together Lu Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016201
2 202236
3 20179
4 20057
5 20205
6 20084
7 20243
8 20143
9 20133
10
Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters
20142
11 20222
12 20152
13 20231
14 20251
15 20221
16 20231
17 20211
18 20221
19 20241
20 20191

About Lu Jin

Lu Jin is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 28 papers that have together received 289 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (16 papers), Software Reliability and Analysis Research (9 papers), Statistical Distribution Estimation and Applications (6 papers), Risk and Safety Analysis (4 papers), Monetary Policy and Economic Impact (4 papers), Financial Risk and Volatility Modeling (3 papers), Advanced Battery Technologies Research (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Finance (95 citations), General Economics, Econometrics and Finance (77 citations), Economics and Econometrics (147 citations), Management Science and Operations Research (57 citations) and Safety, Risk, Reliability and Quality (30 citations). Lu Jin has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Atsushi Inoue, Barbara Rossi, Leping Zhou, Xiaoze Du, Yuhang Yang, Kazuyuki Suzuki, Denis Pelletier, Michael K. Wohlgenant, Hon Keung Tony Ng and Qingpei Hu. Their work appears in journals such as Quality Technology & Quantitative Management, Journal of Quality in Maintenance Engineering, IEEE Transactions on Reliability, Applied Stochastic Models in Business and Industry and Journal of Econometrics.

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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