Yan‐Xia Lin

812 citations
71 papers · 450 indexed · h-index 11

Impact in

Papers in

    • Statistical Methods and Inference 11
    • Statistical Methods and Bayesian Inference 8
    • Advanced Statistical Methods and Models 5
    • Financial Risk and Volatility Modeling 11

Yan‐Xia Lin

62 papers receiving 415 citations

Peers

Yan‐Xia Lin
Comparison fields: 5 of 97
  • Finance 169
  • General Economics, Econometrics and Finance 71
  • Statistics and Probability 60
  • Management Science and Operations Research 72
  • Economics and Econometrics 119
Replace Duy Nguyen with:
Duy Nguyen United States
Qingfeng Liu China
Yingxing Li China
Cheng–Der Fuh Taiwan
Clifford Lam United Kingdom
Haipeng Xing United States
Jiancheng Jiang United States
Dale S. Borowiak United States
D. A. Hsu United States
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Citations per field
00.5×5.3×
Duy Nguyen · 1×
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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200462
2 200661
3 200332
4 200220
5 200220
6 201018
7 201611
8 200011
9 199711
10 202211
11
Evaluating the volatility forecasting performance of best fitting GARCH models in emerging Asian stock markets
201210
12
Particle labeling PHD filter for multi-target track-valued estimates
20119
13 20039
14 20019
15 20138
16 20238
17 19927
18 19937
19 20067
20 20246

About Yan‐Xia Lin

Yan‐Xia Lin is a scholar working on Statistics and Probability, Finance, General Economics, Econometrics and Finance, Management Science and Operations Research and Artificial Intelligence, having authored 71 papers that have together received 450 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Financial Risk and Volatility Modeling (11 papers), Monetary Policy and Economic Impact (9 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Finance (169 citations), General Economics, Econometrics and Finance (71 citations), Statistics and Probability (60 citations), Management Science and Operations Research (72 citations) and Economics and Econometrics (119 citations). Yan‐Xia Lin has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Michael McCrae, Qiying Wang, C. C. Heyde, Hongyan Zhu, Chongzhao Han, Xueqin Li, Chun Li, Nikos Tzavidis, Yi Mu and Ren Zhang. Their work appears in journals such as Journal of Statistical Planning and Inference, Mathematics and Computers in Simulation, Econometric Theory, Bioinformatics and Ocean Engineering.

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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