Guande Qi

1.7k total citations
9 papers, 822 citations indexed

About

Guande Qi is a scholar working on Transportation, Building and Construction and Nutrition and Dietetics. According to data from OpenAlex, Guande Qi has authored 9 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Transportation, 4 papers in Building and Construction and 3 papers in Nutrition and Dietetics. Recurrent topics in Guande Qi's work include Human Mobility and Location-Based Analysis (5 papers), Traffic Prediction and Management Techniques (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Guande Qi is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), Traffic Prediction and Management Techniques (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Guande Qi collaborates with scholars based in China, France and Canada. Guande Qi's co-authors include Gang Pan, Shijian Li, Daqing Zhang, Zhaohui Wu, Wangsheng Zhang, Zhaohui Wu, Xuezhen Hong, Zonghui Wang, Xiaolong Li and Jun Wang and has published in prestigious journals such as IEEE Communications Magazine, Journal of Food Engineering and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Guande Qi

9 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guande Qi China	8	574	289	173	110	82	9	822
Sijie Ruan China	16	349 0.6×	306 1.1×	86 0.5×	268 2.4×	22 0.3×	37	731
Zhaoyuan Wang China	12	101 0.2×	120 0.4×	101 0.6×	35 0.3×	29 0.4×	44	801
Mercedes Valdés-Vela Spain	11	87 0.2×	77 0.3×	44 0.3×	64 0.6×	44 0.5×	26	460
Jamal Toutouh Spain	16	74 0.1×	76 0.3×	110 0.6×	18 0.2×	10 0.1×	57	727
Ari Wibisono Indonesia	13	31 0.1×	91 0.3×	56 0.3×	34 0.3×	12 0.1×	60	418
Gürkan Solmaz United States	14	124 0.2×	60 0.2×	18 0.1×	18 0.2×	10 0.1×	41	687
Huan Yan China	12	225 0.4×	357 1.2×	35 0.2×	117 1.1×	5 0.1×	49	671
Manki Min United States	15	123 0.2×	103 0.4×	13 0.1×	29 0.3×	7 0.1×	49	983
Liyan Xiong China	9	78 0.1×	114 0.4×	15 0.1×	75 0.7×	9 0.1×	34	389
Tao Tang China	14	91 0.2×	66 0.2×	43 0.2×	23 0.2×	4 0.0×	61	541

Countries citing papers authored by Guande Qi

Since Specialization

Citations

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

Fields of papers citing papers by Guande Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guande Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Guande Qi. A scholar is included among the top collaborators of Guande Qi 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 Guande Qi. Guande Qi 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:

9 of 9 papers shown

1.

Hong, Xuezhen, Jun Wang, & Guande Qi. (2015). Comparison of semi-supervised and supervised approaches for classification of e-nose datasets: Case studies of tomato juices. Chemometrics and Intelligent Laboratory Systems. 146. 457–463. 12 indexed citations

2.

Zhang, Wangsheng, Guande Qi, Gang Pan, et al.. (2015). City-Scale Social Event Detection and Evaluation with Taxi Traces. ACM Transactions on Intelligent Systems and Technology. 6(3). 1–20. 42 indexed citations

3.

Hong, Xuezhen, Jun Wang, & Guande Qi. (2014). Comparison of spectral clustering, K-clustering and hierarchical clustering on e-nose datasets: Application to the recognition of material freshness, adulteration levels and pretreatment approaches for tomato juices. Chemometrics and Intelligent Laboratory Systems. 133. 17–24. 39 indexed citations

4.

Hong, Xuezhen, Jun Wang, & Guande Qi. (2014). E-nose combined with chemometrics to trace tomato-juice quality. Journal of Food Engineering. 149. 38–43. 52 indexed citations

5.

Qi, Guande, Gang Pan, Shijian Li, et al.. (2013). How Long a Passenger Waits for a Vacant Taxi -- Large-Scale Taxi Trace Mining for Smart Cities. 1029–1036. 28 indexed citations

6.

Pan, Gang, Guande Qi, Wangsheng Zhang, et al.. (2013). Trace analysis and mining for smart cities: issues, methods, and applications. IEEE Communications Magazine. 51(6). 120–126. 139 indexed citations

7.

Qi, Guande, Yao Pan, Shijian Li, & Gang Pan. (2013). Predicting Passengers' Waiting Time by Mining Taxi Traces. 2 indexed citations

8.

Li, Xiaolong, Gang Pan, Zhaohui Wu, et al.. (2012). Prediction of urban human mobility using large-scale taxi traces and its applications. Frontiers of Computer Science. 6(1). 111–121. 264 indexed citations

9.

Pan, Gang, Guande Qi, Zhaohui Wu, Daqing Zhang, & Shijian Li. (2012). Land-Use Classification Using Taxi GPS Traces. IEEE Transactions on Intelligent Transportation Systems. 14(1). 113–123. 244 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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