Yan‐Xia Lin

707 citations
68 papers · 490 · h-index 12

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 10
    • Cryptography and Data Security 7
    • Target Tracking and Data Fusion in Sensor Networks 7
    • Statistical Methods and Inference 11
    • Statistical Methods and Bayesian Inference 9

Yan‐Xia Lin

61 papers receiving 448 citations

Peers

Yan‐Xia Lin
Comparison fields: 5 of 76
  • Finance 177
  • Statistics and Probability 71
  • General Economics, Econometrics and Finance 74
  • Management Science and Operations Research 82
  • Economics and Econometrics 127
Replace Haipeng Xing with:
Haipeng Xing United States
Garland Durham United States
Gopal K. Basak India
Martina Mincheva United States
Gilles Teyssière France
Mathieu Rosenbaum France
Evdokia Xekalaki Greece
J. H. Venter South Africa
Albrecht Irle Germany
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Citations per field
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Citations per year

Countries citing papers authored by Yan‐Xia Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Xia Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan‐Xia Lin, 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 Yan‐Xia Lin Line = papers co-authored together Yan‐Xia Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 200664
3 200335
4 200423
5 200221
6 200220
7 201019
8 201613
9 200013
10 200112
11 200311
12 199711
13
Evaluating the volatility forecasting performance of best fitting GARCH models in emerging Asian stock markets
201210
14 201310
15 19929
16
Particle labeling PHD filter for multi-target track-valued estimates
20119
17 20039
18 20149
19 19938
20 20067

About Yan‐Xia Lin

Yan‐Xia Lin is a scholar working on Artificial Intelligence, Statistics and Probability, Finance, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 68 papers that have together received 490 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Financial Risk and Volatility Modeling (11 papers), Privacy-Preserving Technologies in Data (10 papers), Statistical Methods and Bayesian Inference (9 papers), Monetary Policy and Economic Impact (9 papers), Cryptography and Data Security (7 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Probability and Risk Models (6 papers). The work is most often cited by research in Finance (177 citations), Statistics and Probability (71 citations), General Economics, Econometrics and Finance (74 citations), Management Science and Operations Research (82 citations) and Economics and Econometrics (127 citations). Yan‐Xia Lin has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Michael McCrae, Qiying Wang, Yi Mu, C. C. Heyde, Willy Susilo, Hongyan Zhu, Chun Ruan, Chongzhao Han, Vijay Varadharajan and Nikos Tzavidis. Their work appears in journals such as Journal of Statistical Planning and Inference, Mathematics and Computers in Simulation, Econometric Theory, Bioinformatics and International Journal of Genomics.

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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