Qingfeng Liu

620 total citations
28 papers, 384 citations indexed

About

Qingfeng Liu is a scholar working on Artificial Intelligence, General Economics, Econometrics and Finance and Statistics and Probability. According to data from OpenAlex, Qingfeng Liu has authored 28 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in General Economics, Econometrics and Finance and 7 papers in Statistics and Probability. Recurrent topics in Qingfeng Liu's work include Monetary Policy and Economic Impact (7 papers), Speech and Audio Processing (6 papers) and Advanced Statistical Methods and Models (6 papers). Qingfeng Liu is often cited by papers focused on Monetary Policy and Economic Impact (7 papers), Speech and Audio Processing (6 papers) and Advanced Statistical Methods and Models (6 papers). Qingfeng Liu collaborates with scholars based in China, Japan and United States. Qingfeng Liu's co-authors include Ryo Okui, Gary W. Emery, Yang Feng, Hui Jiang, Li-Rong Dai, G. Q. Zhao, Pan Zhou, Yu Hu, Chin‐Hui Lee and Jun Du and has published in prestigious journals such as Journal of Business and Economic Statistics, Frontiers in Neuroscience and Economics Letters.

In The Last Decade

Qingfeng Liu

23 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingfeng Liu China	11	143	96	76	71	64	28	384
Haeran Cho United Kingdom	10	196 1.4×	92 1.0×	101 1.3×	63 0.9×	33 0.5×	24	438
Carsten Jentsch Germany	11	150 1.0×	220 2.3×	54 0.7×	137 1.9×	140 2.2×	48	458
Rolf Tschernig Germany	9	76 0.5×	149 1.6×	43 0.6×	134 1.9×	98 1.5×	18	333
E. J. Godolphin United Kingdom	12	125 0.9×	62 0.6×	43 0.6×	50 0.7×	37 0.6×	33	319
Denis Belomestny Germany	12	126 0.9×	74 0.8×	53 0.7×	334 4.7×	47 0.7×	79	510
Evdokia Xekalaki Greece	10	208 1.5×	122 1.3×	159 2.1×	112 1.6×	53 0.8×	58	526
R. Deane Terrell Australia	11	94 0.7×	193 2.0×	42 0.6×	166 2.3×	147 2.3×	41	423
Nien‐Fan Zhang United States	7	41 0.3×	223 2.3×	67 0.9×	207 2.9×	93 1.5×	12	449
Michael Vogt Germany	10	49 0.3×	139 1.4×	33 0.4×	71 1.0×	26 0.4×	33	292
Sergio G. Koreisha United States	13	181 1.3×	167 1.7×	19 0.3×	194 2.7×	228 3.6×	33	481

Countries citing papers authored by Qingfeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Qingfeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Liu. A scholar is included among the top collaborators of Qingfeng Liu 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 Qingfeng Liu. Qingfeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Qingfeng, et al.. (2025). Model Averaging Under Flexible Loss Functions. INFORMS journal on computing. 37(6). 1605–1623.

Liu, Qingfeng, et al.. (2023). Development of a quantitative measurement on visual clutter in see through display. Frontiers in Neuroscience. 17. 1138225–1138225.

Du, Jun, et al.. (2023). ANSD-MA-MSE: Adaptive Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 1561–1573. 14 indexed citations

Du, Jun, et al.. (2022). Space-and-Speaker-Aware Acoustic Modeling with Effective Data Augmentation for Recognition of Multi-Array Conversational Speech. SSRN Electronic Journal. 1 indexed citations

Liu, Qingfeng, et al.. (2020). Model averaging estimation for conditional volatility models with an application to stock market volatility forecast. Journal of Forecasting. 39(5). 841–863. 18 indexed citations

Feng, Yang, Qingfeng Liu, & Ryo Okui. (2019). On the sparsity of Mallows model averaging estimator. Economics Letters. 187. 108916–108916. 13 indexed citations

Liu, Qingfeng & Andrey L. Vasnev. (2019). A Combination Method for Averaging OLS and GLS Estimators. Econometrics. 7(3). 38–38. 1 indexed citations

Liu, Zhe, et al.. (2018). A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. 11. 1187–1192. 6 indexed citations

Wang, Yanyan, et al.. (2018). Three-Dimensional Measurement Applied in Design Eye Point of Aircraft Cockpits. Aerospace Medicine and Human Performance. 89(4). 371–376. 1 indexed citations

10.

Jiang, Hui, et al.. (2015). Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. Journal of Signal Processing Systems. 82(2). 175–185. 16 indexed citations

11.

Zhou, Pan, Hui Jiang, Li-Rong Dai, Yu Hu, & Qingfeng Liu. (2015). State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(4). 631–642. 21 indexed citations

12.

Liu, Qingfeng, et al.. (2013). Generalized Least Squares Model Averaging. SSRN Electronic Journal. 1 indexed citations

13.

Liu, Qingfeng & Ryo Okui. (2013). Heteroscedasticity‐robustCpmodel averaging. Econometrics Journal. 16(3). 463–472. 110 indexed citations

14.

Zhou, Pan, Cong Liu, Qingfeng Liu, Li-Rong Dai, & Hui Jiang. (2013). A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. 6650–6654. 14 indexed citations

15.

Yu, Xiaoyi, et al.. (2011). High-performance drosophila movement tracking. Lanzhou University Institutional Repository. 27. 69–72. 1 indexed citations

16.

Liu, Qingfeng. (2010). A New GARCH-Type Model. 33(2). 213–227. 1 indexed citations

17.

Liu, Qingfeng & Yoshihiko Nishiyama. (2008). Maximum empirical likelihood estimation of continuous-time models with conditional characteristic functions. Mathematics and Computers in Simulation. 78(2-3). 341–350. 2 indexed citations

18.

Fung, Hung‐Gay, et al.. (2007). Cross-Market Linkages of Taiwan Index Futures Contracts Listed on the Taiwan Futures Exchange and the Singapore Exchange. Review of Pacific Basin Financial Markets and Policies. 10(4). 561–583. 1 indexed citations

19.

Liu, Qingfeng & Kimio Morimune. (2005). A Modified GARCH Model with Spells of Shocks. Asia-Pacific Financial Markets. 12(1). 29–44. 4 indexed citations

20.

Liu, Qingfeng. (2002). Study of self-organizing technique in urban traffic control system.

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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