Yu Gu

3.6k total citations
155 papers, 2.5k citations indexed

About

Yu Gu is a scholar working on Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yu Gu has authored 155 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Aerospace Engineering, 42 papers in Artificial Intelligence and 21 papers in Control and Systems Engineering. Recurrent topics in Yu Gu's work include Target Tracking and Data Fusion in Sensor Networks (37 papers), Inertial Sensor and Navigation (35 papers) and Robotics and Sensor-Based Localization (25 papers). Yu Gu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (37 papers), Inertial Sensor and Navigation (35 papers) and Robotics and Sensor-Based Localization (25 papers). Yu Gu collaborates with scholars based in United States, China and Italy. Yu Gu's co-authors include Matthew B. Rhudy, Jason N. Gross, Marcello R. Napolitano, Marcello Napolitano, Haiyang Chao, Brad Seanor, Giampiero Campa, Srikanth Gururajan, Kung K. Wang and Mario Luca Fravolini and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Automatica.

In The Last Decade

Yu Gu

148 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Gu United States	29	1.4k	515	433	404	298	155	2.5k
Xuebo Zhang China	31	1.2k 0.8×	121 0.2×	1.6k 3.7×	1.4k 3.6×	74 0.2×	247	3.5k
Rainer Kümmerle Germany	30	3.3k 2.4×	330 0.6×	2.4k 5.4×	290 0.7×	98 0.3×	64	4.9k
Juan Cortés France	27	549 0.4×	147 0.3×	962 2.2×	676 1.7×	51 0.2×	102	2.4k
R.A. Jarvis Australia	17	542 0.4×	401 0.8×	1.1k 2.6×	175 0.4×	23 0.1×	69	2.6k
Thierry Siméon France	24	625 0.5×	275 0.5×	1.4k 3.1×	789 2.0×	36 0.1×	68	2.3k
Xi Liu China	19	593 0.4×	903 1.8×	209 0.5×	707 1.8×	31 0.1×	94	2.2k
Fangfang Liu China	22	212 0.2×	129 0.3×	212 0.5×	136 0.3×	37 0.1×	93	1.8k
Magnus Jansson Sweden	26	588 0.4×	255 0.5×	243 0.6×	664 1.6×	11 0.0×	158	2.6k
Ruonan Zhang China	30	1.2k 0.8×	259 0.5×	523 1.2×	83 0.2×	29 0.1×	279	3.3k
Chunyan Wang China	32	790 0.6×	172 0.3×	109 0.3×	893 2.2×	16 0.1×	181	2.9k

Countries citing papers authored by Yu Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gu, Yu, et al.. (2025). Development of a mobile online detector for soil total nitrogen based on visible and short-wave near-infrared spectroscopy. Measurement. 248. 116933–116933. 1 indexed citations

Gu, Yu, et al.. (2025). FloPE: Flower Pose Estimation for Precision Pollination. 3033–3039.

An, Teng, et al.. (2025). Effects of grain size on the stacking fault propagation behavior at interrupted-creep process of new Ni-Co based superalloy. Materials Science and Engineering A. 935. 148333–148333. 1 indexed citations

Tao, Li, et al.. (2025). Infrared and visible image fusion based on spatial correlation attention. Infrared Physics & Technology. 150. 105985–105985.

Zhou, Peng, et al.. (2025). A new training strategy: Coordinating distillation techniques for training lightweight weed detection model. Crop Protection. 190. 107124–107124. 4 indexed citations

An, Teng, et al.. (2025). Role of δ precipitation in hydrogen-induced crack initiation and propagation in a nickel-based superalloy. International Journal of Hydrogen Energy. 116. 389–401. 1 indexed citations

Smith, Trevor A., et al.. (2024). Design of Stickbug: a Six-Armed Precision Pollination Robot. 69–75. 7 indexed citations

Wang, Chengyu, Teng An, Yu Gu, et al.. (2023). Interaction between γ′ precipitate distribution and microstructure homogeneity during hot deformation in a Ni-based superalloy. Journal of Iron and Steel Research International. 30(11). 2301–2317. 4 indexed citations

Gu, Yu, et al.. (2023). Imitating Swarm Behaviors by Learning Agent-Level Controllers. 7–13. 1 indexed citations

10.

Li, Tao, et al.. (2023). Event-triggered extended state observer based distributed control of nonlinear vehicle platoons. Systems & Control Letters. 178. 105583–105583. 6 indexed citations

11.

Chen, Yuhao, et al.. (2022). Influence of Mobile Robots on Human Safety Perception and System Productivity in Wholesale and Retail Trade Environments: A Pilot Study. IEEE Transactions on Human-Machine Systems. 52(4). 624–635. 14 indexed citations

12.

Strader, Jared, et al.. (2021). A Scalable Framework for Map Matching Based Cooperative Localization. Sensors. 21(19). 6400–6400. 2 indexed citations

13.

Strader, Jared, et al.. (2016). Cooperative relative localization for moving UAVs with single link range measurements. 336–343. 20 indexed citations

14.

Mandal, Tanmay & Yu Gu. (2016). Analysis of Pilot-Induced-Oscillation and Pilot Vehicle System Stability Using UAS Flight Experiments. Aerospace. 3(4). 42–42. 8 indexed citations

15.

Gross, Jason N., et al.. (2014). Tightly-Coupled GPS/UWB-Ranging for Relative Navigation During Formation Flight. 1698–1708. 5 indexed citations

16.

Gu, Yu, et al.. (2013). Flight Data Analysis of Pilot-Induced-Oscillations of a Remotely Controlled Aircraft. AIAA Guidance, Navigation, and Control (GNC) Conference. 7 indexed citations

17.

Rhudy, Matthew B., Yu Gu, & Marcello Napolitano. (2012). Relaxation of Initial Error and Noise Bounds for Stability of GPS/INS Attitude Estimation. AIAA Guidance, Navigation, and Control Conference. 10 indexed citations

18.

Waring, Jeffrey F., Yi Yang, Andrew Adler, et al.. (2007). Gene Expression Analysis in Rats Treated with Experimental Acetyl-Coenzyme A Carboxylase Inhibitors Suggests Interactions with the Peroxisome Proliferator-Activated Receptor α Pathway. Journal of Pharmacology and Experimental Therapeutics. 324(2). 507–516. 17 indexed citations

19.

Clark, Richard F., Tianyuan Zhang, Xiaojun Wang, et al.. (2007). Phenoxy thiazole derivatives as potent and selective acetyl-CoA carboxylase 2 inhibitors: Modulation of isozyme selectivity by incorporation of phenyl ring substituents. Bioorganic & Medicinal Chemistry Letters. 17(7). 1961–1965. 29 indexed citations

20.

Gu, Yu, Richard F. Clark, Zhenkun Ma, et al.. (2005). Design, synthesis and structure–activity relationships of 6-O-arylpropargyl diazalides with potent activity against multidrug-resistant Streptococcus pneumoniae. Bioorganic & Medicinal Chemistry Letters. 15(10). 2653–2658. 12 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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