Liangjun Su

4.7k citations
130 papers · 2.8k · h-index 30

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Applications
    • Advanced Causal Inference Techniques
    • Advanced Statistical Methods and Models
    • Spatial and Panel Data Analysis
    • Energy, Environment, Economic Growth

Papers in

Liangjun Su

120 papers receiving 2.7k citations

Peers

Liangjun Su
Comparison fields: 5 of 83
  • Statistics and Probability 1.1k
  • Economics and Econometrics 1.5k
  • Finance 354
  • Computational Mathematics 9
  • General Economics, Econometrics and Finance 114
Replace Oliver Linton with:
Oliver Linton United Kingdom
Yuan Liao United States
Herman K. van Dijk Netherlands
Matteo Barigozzi Italy
Rustam Ibragimov United States
Jean‐Pierre Florens France
Yanqin Fan United States
Herman J. Bierens United States
Chung‐Ming Kuan Taiwan
Jean‐Marie Dufour Canada
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Citations per field
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Oliver Linton · 1×
Citations per year

Countries citing papers authored by Liangjun Su

Since Specialization
Citations

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

Fields of papers citing papers by Liangjun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016148
2 2009133
3 2008130
4 2011107
5 2006105
6 2007103
7 201793
8 201588
9 201382
10 201481
11 201271
12 201568
13 200863
14 201561
15 201558
16 201448
17 201548
18
Instrumental Variable Quantile Estimation of Spatial Autoregressive Models
200746
19 201446
20 201741

About Liangjun Su

Liangjun Su is a scholar working on Statistics and Probability, Economics and Econometrics, Finance, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 130 papers that have together received 2.8k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (66 papers), Statistical Methods and Inference (51 papers), Statistical Methods and Applications (19 papers), Advanced Causal Inference Techniques (16 papers), Advanced Statistical Methods and Models (15 papers), Financial Risk and Volatility Modeling (14 papers), Monetary Policy and Economic Impact (5 papers) and Financial Markets and Investment Strategies (5 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Economics and Econometrics (1.5k citations), Finance (354 citations), Computational Mathematics (9 citations) and General Economics, Econometrics and Finance (114 citations). Liangjun Su has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Sainan Jin, Halbert White, Aman Ullah, Xun Lu, Peter C.B. Phillips, Zhenlin Yang, Zhentao Shi, Xia Wang, Qihui Chen and Yonghui Zhang. Their work appears in journals such as Journal of Econometrics, Journal of Business and Economic Statistics, Econometric Theory, Econometric Reviews and Economics Letters.

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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