Long-Ji Lin

3.9k total citations · 1 hit paper
12 papers, 2.1k citations indexed

About

Long-Ji Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Long-Ji Lin has authored 12 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Long-Ji Lin's work include Reinforcement Learning in Robotics (4 papers), Evolutionary Algorithms and Applications (3 papers) and Robotic Path Planning Algorithms (3 papers). Long-Ji Lin is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Evolutionary Algorithms and Applications (3 papers) and Robotic Path Planning Algorithms (3 papers). Long-Ji Lin collaborates with scholars based in United States, Taiwan and Pakistan. Long-Ji Lin's co-authors include Shang‐Hung Lin, Sun‐Yuan Kung, Steven D. Whitehead, Lin-shan Lee, Thomas R. Hancock, Lee‐Feng Chien and Reid Simmons and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Robotics and Autonomous Systems.

In The Last Decade

Long-Ji Lin

10 papers receiving 1.9k 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.

Self-improving reactive agents based on reinforcement learning, planning and teaching

1992 917 citations Long-Ji Lin Machine Learning profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long-Ji Lin United States	8	1.2k	553	309	225	213	12	2.1k
Joseph Modayil Canada	16	906 0.8×	554 1.0×	341 1.1×	297 1.3×	292 1.4×	30	1.9k
Gerhard Lakemeyer Germany	22	1.5k 1.3×	762 1.4×	445 1.4×	134 0.6×	278 1.3×	151	2.6k
Olivier Pietquin France	20	1.2k 1.1×	284 0.5×	312 1.0×	130 0.6×	150 0.7×	61	1.8k
Shixiang Gu United States	13	1.0k 0.9×	389 0.7×	508 1.6×	170 0.8×	155 0.7×	26	1.6k
Bilal Piot United Kingdom	8	1.2k 1.0×	348 0.6×	415 1.3×	348 1.5×	334 1.6×	12	2.0k
John Agapiou United States	12	890 0.8×	288 0.5×	272 0.9×	338 1.5×	139 0.7×	22	1.7k
Dan Horgan United Kingdom	5	983 0.8×	269 0.5×	392 1.3×	305 1.4×	291 1.4×	5	1.7k
Anthony R. Cassandra United States	11	2.1k 1.8×	723 1.3×	502 1.6×	291 1.3×	670 3.1×	17	3.5k
David Meger Canada	16	695 0.6×	568 1.0×	337 1.1×	270 1.2×	209 1.0×	51	1.7k
Mohammad Gheshlaghi Azar United Kingdom	10	825 0.7×	221 0.4×	241 0.8×	308 1.4×	264 1.2×	17	1.5k

Countries citing papers authored by Long-Ji Lin

Since Specialization

Citations

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

Fields of papers citing papers by Long-Ji Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Ji Lin. 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 Long-Ji Lin. The network helps show where Long-Ji Lin may publish in the future.

Co-authorship network of co-authors of Long-Ji Lin

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

12 of 12 papers shown

1.

Lin, Long-Ji, et al.. (2018). Experience with a task control architecture for mobile robots. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

2.

Lin, Long-Ji. (2018). A case study in robot exploration. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 2 indexed citations

3.

Lin, Shang‐Hung, Sun‐Yuan Kung, & Long-Ji Lin. (2002). A probabilistic DBNN with applications to sensor fusion and object recognition. 2. 333–342. 7 indexed citations

4.

Lin, Long-Ji, et al.. (1998). A robust landmark-based system for vehicle location using low-bandwidth vision. Robotics and Autonomous Systems. 25(1-2). 19–32. 8 indexed citations

5.

Lin, Shang‐Hung, Sun‐Yuan Kung, & Long-Ji Lin. (1997). Face recognition/detection by probabilistic decision-based neural network. IEEE Transactions on Neural Networks. 8(1). 114–132. 399 indexed citations

6.

Whitehead, Steven D. & Long-Ji Lin. (1995). Reinforcement learning of non-Markov decision processes. Artificial Intelligence. 73(1-2). 271–306. 80 indexed citations

7.

Lin, Long-Ji. (1992). Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine Learning. 8(3-4). 293–321. 917 indexed citations breakdown →

8.

Lin, Long-Ji. (1992). Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching. Machine Learning. 8(3-4). 293–321. 53 indexed citations

9.

Lin, Long-Ji. (1992). Reinforcement learning for robots using neural networks. Defense Technical Information Center (DTIC). 482 indexed citations

10.

Lee, Lin-shan, et al.. (1991). An efficient natural language processing system specially designed for the Chinese language. Computational Linguistics. 17(4). 347–374. 12 indexed citations

11.

Lin, Long-Ji. (1991). Programming robots using reinforcement learning and teaching. National Conference on Artificial Intelligence. 781–786. 88 indexed citations

12.

Lin, Long-Ji, et al.. (1986). A chinese natural language processing system based upon the theory of empty categories. National Conference on Artificial Intelligence. 1059–1062. 4 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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