Haoming Xing

474 total citations · 1 hit paper
8 papers, 318 citations indexed

About

Haoming Xing is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Haoming Xing has authored 8 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 4 papers in Civil and Structural Engineering and 4 papers in Computational Mechanics. Recurrent topics in Haoming Xing's work include Control Systems and Identification (6 papers), Advanced Adaptive Filtering Techniques (4 papers) and Structural Health Monitoring Techniques (4 papers). Haoming Xing is often cited by papers focused on Control Systems and Identification (6 papers), Advanced Adaptive Filtering Techniques (4 papers) and Structural Health Monitoring Techniques (4 papers). Haoming Xing collaborates with scholars based in China, United Kingdom and United States. Haoming Xing's co-authors include Feng Ding, Feng Pan, Erfu Yang, Junqiu Wu, Yax Sun, Ke Liu, Xiao Zhang, Xiaoli Luan, Jun Ma and Lei Jia and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of the Franklin Institute and Systems & Control Letters.

In The Last Decade

Haoming Xing

8 papers receiving 310 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises

2024 66 citations Haoming Xing, Feng Ding et al. Systems & Control Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoming Xing China	6	174	104	95	63	51	8	318
Adam B. Singer United States	7	260 1.5×	148 1.4×	43 0.5×	25 0.4×	3 0.1×	8	411
Cha Kun Lee United States	6	175 1.0×	71 0.7×	21 0.2×	25 0.4×	1 0.0×	8	289
Dorian Mazauric France	7	41 0.2×	38 0.4×	19 0.2×	8 0.1×	22 0.4×	28	222
Tairan Liu United States	7	31 0.2×	125 1.2×	87 0.9×	45 0.7×	5 0.1×	12	249
K. F. Ng Hong Kong	16	63 0.4×	571 5.5×	14 0.1×	2 0.0×	43 0.8×	36	625
K. Sundaresan United States	10	94 0.5×	53 0.5×	14 0.1×	3 0.0×	4 0.1×	32	351
David B. Leep United States	9	10 0.1×	59 0.6×	9 0.1×	15 0.2×	5 0.1×	46	359
Jurica Levatić Slovenia	9	10 0.1×	44 0.4×	51 0.5×	15 0.2×	1 0.0×	16	265
Meng He Canada	9	6 0.0×	60 0.6×	30 0.3×	78 1.2×	11 0.2×	38	254
Mario Garza-Fabre Mexico	11	6 0.0×	93 0.9×	67 0.7×	20 0.3×	2 0.0×	18	207

Countries citing papers authored by Haoming Xing

Since Specialization

Citations

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

Fields of papers citing papers by Haoming Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoming Xing

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

All Works

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8 of 8 papers shown

1.

Xing, Haoming, et al.. (2026). Highly efficient moving data window iterative identification for multiple-input multiple-output systems with colored noise. Journal of the Franklin Institute. 363(7). 108480–108480. 2 indexed citations

2.

Xing, Haoming, et al.. (2026). Three‐Stage Filtered Gradient Identification Methods for Multivariable ARX Systems With Colored Noise. Optimal Control Applications and Methods. 47(2). 372–386. 5 indexed citations

3.

Xing, Haoming, Feng Ding, Xiao Zhang, Xiaoli Luan, & Erfu Yang. (2024). Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises. Systems & Control Letters. 186. 105762–105762. 66 indexed citations breakdown →

4.

Xing, Haoming, Feng Ding, & Feng Pan. (2023). Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems. Journal of Computational and Applied Mathematics. 442. 115687–115687. 29 indexed citations

5.

Xing, Haoming, Feng Ding, Feng Pan, & Erfu Yang. (2023). Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models. International Journal of Adaptive Control and Signal Processing. 37(11). 2983–3007. 65 indexed citations

6.

Xing, Haoming, Feng Ding, & Feng Pan. (2023). Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models. International Journal of Robust and Nonlinear Control. 33(17). 10845–10863. 13 indexed citations

7.

Huang, Pin‐I, et al.. (2021). Accurate Prediction of Hydration Sites of Proteins Using Energy Model With Atom Embedding. Frontiers in Molecular Biosciences. 8. 756075–756075. 7 indexed citations

8.

Liu, Ke, Lei Jia, Jun Ma, et al.. (2019). Chemi-Net: A Molecular Graph Convolutional Network for Accurate Drug Property Prediction. International Journal of Molecular Sciences. 20(14). 3389–3389. 131 indexed citations

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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