Chien-Ping Lu

740 total citations
8 papers, 546 citations indexed

About

Chien-Ping Lu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Hardware and Architecture. According to data from OpenAlex, Chien-Ping Lu has authored 8 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 2 papers in Hardware and Architecture. Recurrent topics in Chien-Ping Lu's work include Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Vision and Imaging (2 papers). Chien-Ping Lu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Vision and Imaging (2 papers). Chien-Ping Lu collaborates with scholars based in United States, United Kingdom and Taiwan. Chien-Ping Lu's co-authors include Eric Mjolsness, Suguna Pappu, Steven Gold, Anand Rangarajan, Willard L. Miranker and Pei-Kuei Tsung and has published in prestigious journals such as Pattern Recognition, Biological Cybernetics and APSIPA Transactions on Signal and Information Processing.

In The Last Decade

Chien-Ping Lu

8 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chien-Ping Lu United States	6	394	272	117	72	41	8	546
Xiaofeng Ren United States	8	668 1.7×	167 0.6×	67 0.6×	69 1.0×	67 1.6×	9	790
Daniel Martinec Czechia	5	517 1.3×	325 1.2×	54 0.5×	67 0.9×	12 0.3×	5	628
Aleš Jaklič Slovenia	8	187 0.5×	87 0.3×	95 0.8×	64 0.9×	34 0.8×	20	422
Yi-Ping Hung Taiwan	10	439 1.1×	304 1.1×	83 0.7×	138 1.9×	44 1.1×	29	595
Roland Angst Switzerland	13	531 1.3×	180 0.7×	246 2.1×	93 1.3×	50 1.2×	19	697
Pengcheng Shi China	13	292 0.7×	146 0.5×	49 0.4×	52 0.7×	59 1.4×	54	516
Michal Perďoch Czechia	15	936 2.4×	410 1.5×	37 0.3×	49 0.7×	19 0.5×	20	1.0k
Siavash Zokai United States	9	430 1.1×	224 0.8×	24 0.2×	128 1.8×	82 2.0×	11	564
Xiaolong Fan China	15	222 0.6×	101 0.4×	150 1.3×	142 2.0×	106 2.6×	31	564
Aoxiang Fan China	10	769 2.0×	457 1.7×	47 0.4×	65 0.9×	31 0.8×	10	910

Countries citing papers authored by Chien-Ping Lu

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Ping Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Ping Lu. 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 Chien-Ping Lu. The network helps show where Chien-Ping Lu may publish in the future.

Co-authorship network of co-authors of Chien-Ping Lu

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

8 of 8 papers shown

1.

Lu, Chien-Ping. (2017). AI, native supercomputing and the revival of Moore's Law. APSIPA Transactions on Signal and Information Processing. 6(1). 7 indexed citations

2.

Tsung, Pei-Kuei, et al.. (2016). High performance deep neural network on low cost mobile GPU. 69–70. 14 indexed citations

3.

Lu, Chien-Ping. (2010). K3 Moore's Law in the Era of GPU Computing. 5–5. 2 indexed citations

4.

Gold, Steven, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu, & Eric Mjolsness. (1998). New algorithms for 2D and 3D point matching. Pattern Recognition. 31(8). 1019–1031. 422 indexed citations

5.

Lu, Chien-Ping. (1996). Online pose estimation and model matching. 2 indexed citations

6.

Gold, Steven, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, & Eric Mjolsness. (1994). New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. Neural Information Processing Systems. 7. 957–964. 81 indexed citations

7.

Miranker, Willard L., et al.. (1993). Neural organization of the locomotive oscillator. Biological Cybernetics. 68(4). 307–320. 11 indexed citations

8.

Lu, Chien-Ping & Eric Mjolsness. (1993). Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching. Neural Information Processing Systems. 6. 985–992. 7 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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